Duke Statistics Discussion Papers
Search Results
- 2009-25 — Debdeep Pati, David Dunson
Bayesian Nonparametric Regression with Varying Residual Density - 2009-24 — Minghui Shi, David Dunson
Bayesian Variable Selection via Particle Stochastic Search - 2009-23 — Anirban Bhattacharya, David Dunson
Sparse Bayesian infinite factor models - 2009-22 — P. Richard Hahn, James G. Scott, and Carlos M. Carvalho
Sparse Factor-Analytic Probit Models - 2009-21 — Hao Wang, Craig Reeson, and Carlos M. Carvalho
Dynamic Financial Index Models: Modeling Conditional Dependencies via Graphs - 2009-20 — Artin Armagan, David Dunson
Sparse Variational Analysis of Large Longitudinal Data Sets - 2009-19 — Ioanna Manolopoulou, Xiaojing Wang, Chunlin Ji, Heather E. Lynch, Shelley Stewart, Gregory D. Sempowski, S. Munir Alam, Mike West and Thomas B. Kepler
Statistical Analysis of Cellular Aggregates in Immunofluorescence Histology - 2009-18 — Surya T Tokdar, Yu M Zhu and Jayanta K Ghosh
Bayesian Density Regression Through Projections - 2009-17 — Chiranjit Mukherjee and Mike West
Sequential Monte Carlo in Model Comparison: Example in Cellular Dynamics in Systems Biology - 2009-16 — Merlise Clyde, Joyee Ghosh and Michael Littman
Bayesian Adaptive Sampling for Variable Selection - 2009-15 — Matthew J. Heaton and James G. Scott
Bayesian Computation and the Linear Model - 2009-14 — Nicholas G. Polson and James G. Scott
Alternative Global - Local Shrinkage Rules Using Hypergeometric-Beta Mixtures - 2009-13 — Abhishek Bhattacharya
Statistical Analysis on Manifolds: A Nonparametric Approach for Inference on Shape Spaces - 2009-12 — Abhishek Bhattacharya and David Dunson
Nonparametric Bayesian Density Estimation on Manifolds with Applications to Planar Shapes - 2009-11 — Quanli Wang
A Novel Immersion Simulation Based Self-Organizing Transform with Application to Single-Cell Segmentation from Microscopy Images - 2009-10 — Justin Guinney, Philip Febbo, Mauro Maggioni, and Sayan Mukherjee
Multiscale factor models for molecular networks - 2009-09 — James G. Scott
Flexible Learning on the Sphere via Adaptive Needlet Shrinkage and Selection - 2009-08 — Kai Mao, Qiang Wu, Feng Liang, Sayan Mukherjee
Two models for Bayesian supervised dimension reduction - 2009-07 — Ryo Yoshida and Mike West
Bayesian Learning in Sparse Graphical Factor Models via Annealed Entropy - 2009-06 — David A. Orlando, Edwin S. Iversen, Jr., Alexander J. Hartemink and Steven B. Haase
A Branching Process Model for Flow Cytometry and Budding Index Measurements in Cell Synchrony Experiments - 2009-05 — Carlos M. Carvalho, Nicholas G. Polson, and James G. Scott
Shrink Globally, Act Locally: Regularized Regression with Multivariate Scale Mixtures - 2009-04 — Dawn B. Woodard, Robert L. Wolpert, and Michael A. O'Connell
Spatial Inference of Nitrate Concentrations in Groundwater - 2009-03 — Carlos M. Carvalho, Nicholas G. Polson and James G. Scott
Handling Sparsity via the Horseshoe - 2009-02 — Carlos M. Carvalho, Hedibert F. Lopes, Nicholas G. Polson, and Matthew Taddy
Particle Learning for General Mixtures - 2009-01 — Simon Lunagomez, Sayan Mukherjee, Robert Wolpert
Conditional Independence Models via Filtrations - 2008-39 — Abhishek Bhattacharya
Nonparametric Statistics On Manifolds With Applications To Shape Spaces - 2008-37 — XuanLong Nguyen and Alan E. Gelfand
The Dirichlet labeling process for functional data analysis - 2008-36 — Fei Liu and Mike West
A dynamic modelling strategy for Bayesian computer model emulation - 2008-35 — Melanie A. Wilson, Edwin S. Iversen, Merlise A. Clyde, Scott C. Schmidler and Joellen M. Schildkraut
Bayesian Model Search and Multilevel Inference for SNP Association Studies - 2008-34 — Dan Merl, Julia Lin-Yu Chen, Jen-Tsan Chi & Mike West
Integrative Analysis of Cancer Gene Expression Studies using Bayesian Latent Factor Modelling - 2008-33 — Sourish Das, Ofer Harel, Dipak Dey, Jon CoVault, and Henry Kranzler
Analysis of Extreme Drinking in Patients with Alcohol Dependence Using Pareto Regression - 2008-32 — Carlos M. Carvalho, Michael Johannes, Hedibert F. Lopes and Nicholas Polson
Particle Learning and Smoothing - 2008-31 — Carlos M. Carvalho, Nicholas G. Polson, and James G. Scott
The horseshoe estimator for sparse signals - 2008-30 — Joe E. Lucas, Carlos M. Carvalho & Mike West
A Bayesian Analysis Strategy for Cross-Study Translation of Gene Expression Biomarkers - 2008-29 — Daniel Merl, Leah Johnson, Robert Gramacy, and Marc Mangel
A Statistical Framework for the Adaptive Management of Epidemiological Interventions - 2008-28 — Sourish Das and Dipak Dey
Analysis of 5 Loxin Treatment for Patients with Osteoarthritis in Clinical Trial using Power Filter - 2008-27 — Mark L. Huber & Robert L. Wolpert
Perfect Simulation of Matérn Type III Repulsive Point Processes - 2008-26 — David B. Dunson
Kernel local partition processes for functional data - 2008-25 — Chunlin Ji, Dan Merl, Tom Kepler & Mike West
Spatial mixture modelling for unobserved point processes: Application in cell-type intensity mapping in immunology - 2008-24 — K. Mao, Q. Wu, F. Liang, S. Mukherjee
Non-parametric Bayesian simultaneous dimension reduction and regression on manifolds - 2008-22 — Quanli Wang, Lingchong You & Mike West
CellTracer: Software for automated image segmentation and lineage mapping for single-cell studies - 2008-21 — Jarad Niemi & Mike West
Adaptive mixture modelling Metropolis methods for Bayesian analysis of non-linear state-space models - 2008-20 — Carlos M. Carvalho and Jill Rickershauser
Volatility in Prediction Markets: A Measure of Information Flow in Political Campaigns - 2008-19 — Q. Wu, F. Liang and S. Mukherjee
Localized sliced inverse regression - 2008-18 — Dan Merl, Joe Lucas, Joe Nevins, Haige Shen & Mike West
Trans-Study Projection of Genomic Biomarkers in Analysis of Oncogene Deregulation and Breast Cancer - 2008-17 — Lianming Wang and David Dunson
Semiparametric Bayes Multiple Testing: Applications to Tumor Data - 2008-16 — Joyee Ghosh and David B. Dunson
Default Prior Distributions and Efficient Posterior Computation in Bayesian Factor Analysis - 2008-15 — Mingan Yang and David B. Dunson
Bayesian Semiparametric Structural Equation Models with Latent Variables - 2008-14 — Yeonseung Chung and David Dunson
Nonparametric Bayes conditional distribution modeling with variable selection - 2008-13 — Haige Shen and Mike West
Bayesian modeling for biological pathway annotation of genomic signatures - 2008-12 — Bala Rajaratnam, Helene Massam, and Carlos M. Carvalho
Flexible Covariance Estimation in Graphical Gaussian Models - 2008-11 — Joseph E. Lucas, Carlos M. Carvalho, Dan Merl & Mike West
In-vitro to In-vivo factor profiling in expression genomics - 2008-10 — James G. Scott and James O. Berger
Multiple Testing, Empirical Bayes, and the Variable-Selection Problem - 2008-09 — James G. Scott
Nonparametric Bayesian multiple hypothesis testing of autoregressive time series - 2008-08 — Natesh S. Pillai & Robert L. Wolpert
Posterior Consistency of BNP Models Using Lévy RF Priors - 2008-07 — M. J. Bayarri, James O. Berger, Eliza S. Calder, Keith Dalbey, Simon Lunagomez, Abani K. Patra, E. Bruce Pitman, Elaine Spiller, and Robert L. Wolpert
Using Statistical and Computer Modesl to Quantify Volcanic Hazards - 2008-06 — David Dunson
Nonparametric Bayes applications to biostatistics - 2008-05 — Dawn B. Woodard
Detecting Poor Convergence of Posterior Samplers Due to Multimodality - 2008-04 — Cliburn Chan, Feng Feng, Mike West, Thomas B Kepler
Statistical mixture modeling for cell subtype identification in flow cytometry - 2008-03 — David B. Dunson
Nonparametric Bayes local borrowing of information and clustering - 2008-02 — Xi Zhou, Merlise A. Clyde, James Garrett, Viridiana Lourdes, Michael O'Connell, Giovanni Parmigiani, David J. Turner, and Tim Wiles
Statistical Methods for Automated Drug Susceptibility Testing: Bayesian Minimum Inhibitory Concentration Prediction from Growth Curves - 2008-01 — Hao Wang & Mike West
Bayesian analysis of matrix normal graphical models - 2007-27 — Quanli Wang, Jarad Niemi, Chee-Meng Tan, Lingchong You & Mike West
Image segmentation and dynamic lineage analysis in single-cell fluorescent microscopy - 2007-26 — James L. Crooks, James O. Berger, Thomas J. Loredo
Posterior-Guided Importance Sampling for Calculating Marginal Likelihoods with Application to Bayesian Exoplanet Searches - 2007-25 — Q. Wu, F. Liang, S. Mukherjee
Regularized sliced inverse regression for kernel models - 2007-24 — Joe E Lucas, Carlos Carvalho, Jen-Tsan Ashley Chi and Mike West
Bench-to-bedside and cross-study projections of genomic biomarkers: An evaluation in breast cancer genomics - 2007-23 — Rich MacLehose and David B. Dunson
Nonparametric Bayes kernel-based priors for functional data analysis - 2007-22 — R.F. MacLehose and D.B. Dunson
Bayesian semi-parametric multiple shrinkage - 2007-21 — Ju-Hyun Park and David B. Dunson
Bayesian generalized product partition model - 2007-20 — James G. Scott and Carlos M. Carvalho
Feature-inclusion stochastic search for Gaussian graphical models - 2007-19 — Carlos M. Carvalho and James G. Scott
Objective Bayesian Model Selection in Gaussian Graphical Models - 2007-18 — J. Guinney, Q. Wu, S. Mukherjee
Estimating variable structure and dependence in Multi-task learning via gradients - 2007-17 — Q. Wu, J. Guinney, M. Maggioni, S. Mukherjee
Learning gradients: predictive models that infer geometry and dependence - 2007-16 — E. Edelman, J. Guinney, J-T. Chi, P.G. Febbo, S. Mukherjee
Modeling Cancer Progression via Pathway Dependencies - 2007-15 — Lianming Wang and David B. Dunson
Fast Bayesian inference in Dirichlet process mixture models - 2007-14 — Natesh S. Pillai, Robert L. Wolpert and Merlise A. Clyde
A Note on Posterior Consistency of the Nonparametric Poisson Regression Model - 2007-13 — David B. Dunson and Amy H. Herring
Fast nonparametric Bayes joint modeling with functional predictors - 2007-12 — Julia Ling Chen, Joe E Lucas, Mike West & Jen-Tsan Ashley Chi
Genomic analysis of response to lactic acidosis in human cancers - 2007-11 — Lianming Wang and David B. Dunson
Bayesian isotonic density regression - 2007-10 — Feng Liang, Kai Mao, Ming Liao, Sayan Mukherjee and Mike West
Non-parametric Bayesian kernel models - 2007-09 — Jeff Chang, Carlos Carvalho, Seiichi Mori, Andrea Bild, Quanli Wang, Mike West and Joseph Nevins
Decomposing cellular signalling pathways into functional units: A genomic strategy - 2007-08 — David B. Dunson, Mingan Yang and Donna Baird
Semiparametric Bayes hierarchical models with mean and variance constraints - 2007-07 — Abel Rodriguez and David B. Dunson and Alan E. Gelfand
Nonparametric functional data analysis through Bayesian Density Estimation - 2007-06 — James Berger and Dongchu Sun
Objective Priors for the Bivariate Normal Model with Multivariate Generalizations - 2007-05 — David M. Seo, Pascal J. Goldschmidt and Mike West
Of Mice and Men: Sparse Statistical Modelling in Cardiovascular Genomics - 2007-04 — Yeonseung Chung and David B. Dunson
The local Dirichlet process - 2007-03 — David B. Dunson, Ya Xue and Lawrence Carin
The matrix stick-breaking process: Flexible Bayes meta analysis - 2007-02 — David B. Dunson and Shyamal Peddada
Bayesian nonparametric inference on stochastic ordering - 2007-01 — Satkartar K. Kinney and Jerome P. Reiter
Signficance testing when using multiple imputation for missing data and disclosure limitation - 2006-24 — Leanna L. House, Merlise A. Clyde and Robert L. Wolpert
Nonparametric Models for Peak Identification and Quantification in MALDI-TOF Mass Spectroscopy - 2006-23 — M.J. Bayarri and G. Garcia-Donato
Divergence Based Priors for Bayesian Hypothesis testing - 2006-22 — David B. Dunson and Ju-Hyun Park
Kernel stick-breaking processes - 2006-21 — Abel Rodriguez and Enrique ter Horst
Dynamic density estimation with financial applications - 2006-20 — Sayan Mukherjee, Qiang Wu, Ding-Xuan Zhou
Learning Gradients and Feature Selection on Manifolds - 2006-19 — Abel Rodriguez, David B. Dunson and Alan E. Gelfand
The nested Dirichlet Process - 2006-18 — Natesh Pillai, Qiang Wu, Feng Liang, Sayan Mukherjee, Robert L. Wolpert
Characterizing the function space for Bayesian kernel models - 2006-17 — David B. Dunson
Bayesian methods for latent trait modeling of longitudinal data - 2006-16 — David B. Dunson and Amy H. Herring
Semiparametric Bayesian latent trajectory models - 2006-15 — Hedibert F. Lopes & Carlos M. Carvalho
Factor stochastic volatility with time varying loadings and Markov switching regimes - 2006-14 — Carlos M. Carvalho & Mike West
Dynamic Matrix-Variate Graphical Models - 2006-13 — Jamie L. Bigelow and David B. Dunson
Bayesian Semiparametric Clustering of Functional Predictors - 2006-12 — M.A. Clyde, J.O. Berger, F. Bullard, E. Ford, B. Jefferys, R. Luo, R. Paulo, and T. Loredo
Current Challenges in Bayesian Model Choice - 2006-11 — Jen-Hwa Chu, Merlise Clyde and Feng Liang
Bayesian Function Estimation using an Overcomplete Continuous Wavelet Dictionary - 2006-10 — Merlise A. Clyde and Robert L. Wolpert
Nonparametric Function Estimation using Overcomplete Dictionaries - 2006-09 — Ricky Rambharat and Anthony Brockwell
Sequential Monte Carlo Pricing of American-Style Options under Stochastic Volatility Models - 2006-08 — Robert L. Wolpert, Merlise A. Clyde and Chong Tu
Lévy Adaptive Regression Kernels - 2006-07 — Merlise A. Clyde, Leanna L. House, Robert L. Wolpert
Nonparametric Models for Proteomic Peak Identification and Quantification - 2006-06 — Satkartar K. Kinney and David B. Dunson
Fixed and random effects selection in linear and logistic models - 2006-05 — Elena Edelman, Alessandro Porrello, Ran Liu, Bala Balakumaran, Andrea Bild, Phillip G. Febbo, and Sayan Mukherjee
Analysis of Sample Set Enrichment Scores: assaying the enrichment of sets of genes for individual samples in genome-wide expression profiles - 2006-04 — Rebecca M. Willett and Robert D. Nowak
Minimax Optimal Level Set Estimation - 2006-03 — David B. Dunson
Efficient Bayesian Model Averaging in Factor Analysis - 2006-02 — Qiang Wu and Sayan Mukherjee
Estimation of Gradients and Coordinate Covariation in Classification - 2006-01 — Joe Lucas, Carlos Carvalho, Quanli Wang, Andrea Bild, Joe Nevins and Mike West
Sparse Statistical Modelling in Gene Expression Genomics - 2005-24 — Gangqiang Xia and Alan E. Gelfand
Stationary Process Approximation for the Analysis of Large Spatial Datasets - 2005-23 — Jason A. Duan, Michele Guidani, Alan E. Gelfand
Generalized Spatial Dirichlet Process Models - 2005-22 — Woncheol Jang
Cluster Analysis of Massive Datasets in Astronomy. - 2005-21 — Woncheol Jang and Johan Lim
PQL Estimation Biases in Generalized Linear Mixed Models. - 2005-20 — Michael L. Pennell and David B. Dunson
Empirical Bayes fitting of semiparametric random effects models to large data sets - 2005-19 — Laura H. Gunn and David B. Dunson
Bayesian methods for assessing ordering in hazard functions - 2005-18 — Jamie L. Bigelow and David B. Dunson
Semiparametric classification in hierarchical functional data analysis - 2005-17 — Bo Cai and David B. Dunson
Bayesian multivariate isotonic regression splines: Applications to carcinogenicity studies - 2005-16 — Bo Cai and David B. Dunson
Variable selection in nonparametric random effects models - 2005-15 — Carlos Carvalho, Joe Lucas, Quanli Wang, Joe Nevins and Mike West
"High-dimensional sparse factor models & latent factor regression" - 2005-14 — Joe Lucas, Quanli Want, Andrea Bild, Joe Nevins and Mike West
"Sparse Bayesian analysis & data synthesis in gene expression experiments" - 2005-13 — David B. Dunson, Amy H. Herring and Stephanie A. Mulherin Engel
Bayesian selection and clustering of polymorphisms in functionally-related genes - 2005-12 — Feng Liang, Rui Paulo, German Molina, Merlise A. Clyde and Jim O. Berger
Mixtures of g-priors for Bayesian Variable Selection - 2005-11 — Sayan Mukherjee and Ding-Xuan Zhou
Learning Coordinate Covariances via Gradients - 2005-10 — Chris Hans, Adrian Dobra and Mike West
Shotgun stochastic search in regression with many predictors - 2005-09 — Feng Liang, Sayan Mukhejee and Mike West
Understanding the use of unlabelled data in predictive modelling - 2005-08 — Abel Rodriquez, David Dunson and Jack Taylor
Analysis of DNA repair studies through Bayesian hierarchical models for mixtures - 2005-07 — Mike West
Fitting high-dimensional, sparse regression and ANOVA models: Application to factorial gene expression experiments - 2005-06 — Jamie Bigelow and David Dunson
Bayesian adaptive regression splines for hierarchical data - 2005-05 — M.J. Bayarri and G. Garcia-Donato
Extending Conventional Priors for Testing General Hypotheses in Linear Models - 2005-04 — Yuhong (Casper) Wu, Haakon Tjelmeland and Mike West
Bayesian CART: Prior specification and posterior simulation - 2005-03 — Carlos Carvalho, Helene Massam and Mike West
Simulation of hyper-inverse Wishart distributions in graphical models - 2005-02 — Marco Ferreira, David Higdon, Herbert K Lee and Mike West
Multi-Scale random field models - 2005-01 — Bo Cai and David B. Dunson
Bayesian covariance selection in generalized linear mixed models - 2004-33 — David B. Dunson
Bayesian density regression - 2004-32 — M.J. Bayarri and M.E. Castellanos
Bayesian checking of hierarchical models - 2004-31 — Yuguo Chen and Jun S. Liu
Permanents, Zero-One Tables, and Permutation Tests - 2004-30 — Yuguo Chen
Another Look at Rejection Sampling Through Importance Sampling - 2004-29 — Yuguo Chen, Ian H. Dinwoodie, and Brenda MacGibbon
Sampling for Conditional Inference on Case/Control Data - 2004-28 — David B. Dunson and Amy H. Herring
Bayesian Latent Variable Models for Mixed Discrete Outcomes - 2004-27 — Michael L. Pennell and David B. Dunson
Bayesian Semiparametric Dynamic Frailty Models for Multiple Event Time Data - 2004-26 — Yuguo Chen
Conditional Inference on Tables with Structural Zeros - 2004-25 — Jeremy Rich, Beatrix Jones, Ed Iversen, Chris Hans, Roger McClendon, Ahmed Rasheed, Darell Bigner, Adrian Dobra, Holly Dressman, Joseph Nevins, and Mike West
Gene Expression Profiling and Graphical Association in Glioblastoma Survival - 2004-24 — Adrian Dobra, Quanli Wang, and Mike West
Graphical Model-based Gene Clustering and Metagene Expression Analysis - 2004-23 — Adrian Dobra and Mike West
Bayesian Covariance Selection - 2004-22 — Quanli Wang, Guang Yao, Joseph Nevins, Mike West and Adrian Dobra
GraphExplore: A Software Tool for Network Visualization - 2004-21 — Yuguo Chen
Simple Existence Conditions for Zero-One Matrices with at Most One Structural Zero in Each Row and Column - 2004-20 — Yuguo Chen, Ian Dinwoodie, and Seth Sullivant
Sequential Importance Sampling for Multiway Tables - 2004-19 — Yuguo Chen and Tze Leung Lai
Fast Particle Filters and Their Applications to Recursive Identification and Adaptive Control of Nonlinear Stochastic Systems - 2004-18 — Enrique ter Horst, Robert L. Wolpert, and Samuel W. Malone
Pricing & Hedging Options on Assets driven by Infinitely Divisible Vector Processes - 2004-17 — David B. Dunson and Jack A. Taylor
Approximate Bayesian Inference for Quantiles - 2004-16 — David B. Dunson and Amy H. Herring
Bayesian model selection and averaging in additive and proportional hazards models - 2004-15 — Beatrix Jones and Mike West
Covariance Decomposition in Multivariate Analysis - 2004-14 — Robert L. Wolpert
A Conversation with James O. Berger - 2004-13 — Chris Hans and David B. Dunson
Bayesian Inferences on Umbrella Orderings - 2004-12 — Yuguo Chen, Ian Dinwoodie, Adrian Dobra, and Mark Huber
Lattice Points, Contingency Tables, and Sampling - 2004-11 — David B. Dunson and Joseph B. Stanford
Bayesian Inferences on Predictors of Day-Specific Conception Probabilities - 2004-10 — David B. Dunson
Semiparametric Bayesian Latent Response Models - 2004-09 — E.P. Hoffman, T. Awad, A. Spira, J. Palma, T. Webster, G. Wright, J. Buckley, R. Davis, E. Hubbell, W. Jones, R. Tibshirani, R. Tompkins, T. Triche, W. Xiao, M. West and J.A. Warrington
Expression Profiling: Best Practices For Data Generation And Interpretation In Clinical Trials - 2004-08 — Robert L. Wolpert and Murad S. Taqqu
Fractional Ornstein-Uhlenbeck Lévy Processes and the Telecom Process: Upstairs and Downstairs - 2004-07 — M.J. Bayarri and G. Garcia-Donato
A Bayesian, Sequential look at u-Control Charts - 2004-06 — Penni Black, Erich Huang, Holly Dressman, Seiichi. Ishida, Mike West, and Joseph Nevins
Distinct Gene Expression Phenotypes of Cells Lacking Rb and Rb Family Members - 2004-05 — Joe Nevins, Erich Huang, Holly Dressman, Jennifer Pittman, Andrew Huang, and Mike West
Towards Integrated Clinico-Genomic Models for Personalized Medicine: Combining Gene Expression Signatures and Clinical Factors in Breast Cancer Outcomes Prediction - 2004-04 — Erich Huang, Seiichi Ishida, Jennifer Pittman, Holly Dressman, Andrea Bild, Mark D'Amico, Richard Pestell, Mike West, and Joseph R Nevins
Gene Expression Phenotypic Models that Predict the Activity of Oncogenic Pathways - 2004-03 — Erich Huang, Mike West and Joseph Nevins
Gene Expression Profiles and Predicting Clinical Characteristics of Breast Cancer - 2004-02 — P.G. Patil, M. West, H.V. Wheal, and D.A. Turner
Physiological and Statistical Approaches to Modeling of Synaptic Responses - 2004-01 — Beatrix Jones, Carlos Carvalho, Adrian Dobra, Chris Hans, Chris Carter, and Mike West
Experiments in Stochastic Computation for High-Dimensional Graphical Models - 2003-28 — Rui Paulo
Default Priors for Gaussian Processes - 2003-27 — Rui Paulo
Conditional Frequentist Sequential Tests for the Drift of Brownian Motion - 2003-26 — R. Hubbard and M.J. Bayarri
P Values are not Error Probabilities - 2003-25 — D.B. Dunson, C. Holloman, C. Calder, and L. Gunn
Bayesian Analysis of Interval Counts with Surrogate Data on the Latency Times - 2003-24 — Laura H. Gunn and David B. Dunson
Bayesian Inferences in Shape Constrained Hormone Trajectories in the Menstrual Cycle - 2003-23 — Sandra McBride and Merlise Clyde
Hierarchical Bayesian calibration with reference priors: An application to airborne particulate matter monitoring data - 2003-22 — Yuguo Chen, Persi Diaconis, Susan P. Holmes, and Jun S. Liu
Sequential Monte Carlo Methods for Statistical Analysis of Tables - 2003-21 — Sudipto Banerjee, Dani Gamerman, and Alan E. Gelfand
Spatial Process Modelling for Univariate and Multivariate Dynamic Spatial Data - 2003-20 — Alen E. Gelfand, Alexandra M. Schmidt, and C. F. Sirmans
Multivariate Spatial Process Models: Conditional and Unconditional Bayesian Approaches Using Coregionalization - 2003-19 — Yuguo Chen and Tze Leung Lai
Sequential Monte Carlo Methods for Filtering and Smoothing in Hidden Markov Models - 2003-18 — Edward I. George, Feng Liang and Xinyi Xu
Improved Minimax Prediction Under Kullback-Leibler Loss - 2003-17 — Merlise Clyde and Edward I. George
Model Uncertainty - 2003-16 — David B. Dunson
Bayesian Isotonic Regression for Discrete Outcomes - 2003-15 — Brian Neelon and David B. Dunson
Bayesian Isotonic Regression and Trend Analysis - 2003-14 — Yuguo Chen and Jun S. Liu
Sequential Importance Sampling with Resampling in Molecular Population Genetics - 2003-13 — Jennifer Pittman, Erich Huang, Joseph Nevins and Mike West
Prediction Tree Models in Clinico-Genomics - 2003-12 — Simon Godsill, Arnaud Doucet and Mike West
Monte Carlo Smoothing for Non-Linear Time Series - 2003-11 — Adrian Dobra, Chris Hans, Beatrix Jones, Joseph R Nevins and Mike West
Sparse Graphical Models for Exploring Gene Expression Data - 2003-10 — Jennifer Pittman, Erich Huang, Quanli Wang, Joseph R Nevins and Mike West
Bayesian Analysis of Binary Prediction Tree Models for Retrospectively Sampled Outcomes - 2003-09 — Mark Huber, Yuguo Chen, Ian Dinwoodie, Adrian Dobra and Mike Nicholas
Monte Carlo algorithms for Hardy-Weinberg Proportions - 2003-08 — Sean O'Brien and David B. Dunson
Bayesian Multivariate Logistic Regression - 2003-07 — Jennifer Pittman, Erich Huang, Holly Dressman, Cheng-Fang Horng, Skye H. Cheng, Mei-Hua Tsou, Chii-Ming Chen, Andrea Bild, Edwin S. Iversen, Ming Liao, Andrew T Huang, Joseph R. Nevins and Mike West
Integrated Modelling of Clinical and Gene Expression Information for Personalized Prediction of Disease Outcomes - 2003-06 — Kiona Ogle, Robert L. Wolpert and James F. Reynolds
Reconstructing Plant Root Area and Water Uptake Profiles - 2003-05 — Yuguo Chen and Dylan Small
Testing the Rasch Model via Sequential Importance Sampling - 2003-04 — Robert L. Wolpert and Katja Ickstadt
Reflecting Uncertainty in Inverse Problems: A Bayesian Solution using Lévy Processes - 2003-03 — G. Molina, M.J. Bayarri, J.O. Berger
Statistical Inverse Analysis for a Network Microsimulator - 2003-02 — A. Dobra, C. Tebaldi and M. West
Bayesian Inferencel In Incomplete Multi-Way Tables - 2003-01 — E. Huang, S. Chen, H. Dressman, J. Pittman, M.H. Tsou, C.F. Horng, A. Bild, E.S. Iversen, M. Liao, C.M. Chen, M. West, J.R. Nevins and A.T. Huang
Gene Expression Predictors of Breast Cancer Outcomes - 2002-22 — Robert L. Wolpert
Stable Limit Laws for Marginal Probabilities from MCMC Streams: Acceleration of Convergence - 2002-21 — Xi (Kathy) Zhou, Edwin Iversen and Giovanni Parmigiani
Classification of Missense Mutations of Disease Genes - 2002-20 — David B. Dunson and Amy H. Herring
Hypothesis Testing in the Cox Model for Order Restricted Alternatives - 2002-19 — Zhen Chen and David B. Dunson
A Bayesian Approach for Assessing Heterogeneity in Generalized Linear Models - 2002-18 — David B. Dunson and Bernardo Colombo
Bayesian Modeling of Markers of Day-Specific Fertility - 2002-17 — David B. Dunson, Zhen Chen, and Jean Harry
Bayesian Joint Models of Cluster Size and Subunit-Specific Outcomes - 2002-16 — David B. Dunson and Brian Neelon
Bayesian Inference on Order Constrained Parameters in Generalized Linear Models - 2002-15 — Robert L. Wolpert, Kerrie Mengersen
Adjusted Likelihoods For Synthesizing Empirical Evidence from Studies That Differ in Quality and Design: Effects of Environmental Tobacco Smoke - 2002-14 — James Berger and Luis Pericchi
Training Samples in Objective Bayesian Model Selection - 2002-13 — Herbert K. H. Lee and Merlise A. Clyde
Lossless Online Bayesian Bagging - 2002-12 — Mike West
Bayesian Factor Regression Models in the ``Large p, Small n'' Paradigm - 2002-11 — Robert L. Wolpert, Katja Ickstadt, Martin B. Hansen
A Nonparametric Bayesian Approach to Inverse Problems - 2002-10 — Dave Higdon, Herbie Lee, Chris Holloman
Markov chain Monte Carlo-based approaches for inference in computationally intensive inverse problems - 2002-09 — Herbert K. H. Lee, Christopher H. Holloman, Catherine A. Calder, and Dave M. Higdon
Flexible Gaussian Processes via Convolution - 2002-08 — Marco A. R. Ferreira, Zhuoxin Bi, Mike West, Herbert K. H. Lee, and David Higdon
Multi-scale Modeling of 1-D Permeability Fields - 2002-07 — Marco A. R. Ferreira, Mike West, Herbert K. H. Lee and David Higdon
A Class of Multi-Scale Time Series Models - 2002-06 — Christopher H. Holloman, Herbert K. H. Lee, and Dave M. Higdon
Multi-resolution Genetic Algorithms and Markov Chain Monte Carlo - 2002-05 — Harry Zuzan, Carrie Blanchette, Holly Dressman, Erich Huang, Seiichi Ishida, Jeffrey R. Marks, Joseph R. Nevins, Rainer Spang, Mike West, and Valen E. Johnson
Estimation of Probe Cell Locations in High-density Synthetic-oligonucleotide DNA Microarrays - 2002-04 — David B. Dunson and Donna D. Baird
Bayesian modeling of incidence and progression of disease from cross-sectional data - 2002-03 — David B. Dunson, M. Watson, and Jack A. Taylor
Bayesian Latent Variable Models for Median Regression on Multiple Outcomes - 2002-02 — Maria Maddalena Barbieri, James O. Berger
Optimal Predictive Model Selection - 2002-01 — James O. Berger
Could Fisher, Jeffreys, and Neyman Have Agreed on Testing? - 2001-13 — Sandra J. McBride
A Marked Point Process Model for the Source Proximity Effect in the Indoor Environment - 2001-12 — Catherine A. Calder, Christopher Holloman, David Higdon
Exploring Space-Time Structure in Ozone Concentration Using a Dynamic Process Convolution Model - 2001-11 — Catherine A. Calder, Michael Lavine, Peter Mueller, James S. Clark
Incorporating Multiple Sources of Stochasticity into Dynamic Population Models - 2001-10 — Steven N. MacEachern, Athanasios Kottas, and Alan E. Gelfand
Spatial Nonparametric Bayesian Models - 2001-09 — Edwin Iversen, Jr. and Sining Chen
Population-Calibrated Gene Characterization: Cancer Penetrance Among BRCA1/2 Mutation Carriers - 2001-08 — Michael Lavine
A Marginal Ergodic Theorem - 2001-07 — Alan E. Gelfand and Athanasios Kottas
Bayesian semiparametric regression for median residual life - 2001-06 — Valen E. Johnson, Robert O. Deaner, and Carel P. Van Schaik
Bayesian Analysis of Rank Data with Application to Primate Intelligence Experiments - 2001-05 — Merlise Clyde
Experimental Design: A Bayesian Perspective - 2001-04 — William Fong, Simon Godsill, Arnaud Doucet, and Mike West
Monte Carlo Smoothing with Application to Digital Audio Enhancement - 2001-03 — Dave Higdon
Space and Space-Time Modeling using Process Convolutions - 2001-02 — Dave Higdon, Herbert Lee, and Zhuoxin Bi
A Bayesian Approach to Characterizing Uncertainty in Inverse Problems Using Coarse and Fine Scale Information - 2001-01 — Mike West, Carrie Blanchette, Holly Dressman, Erich Huang, Seiichi Ishida, Rainer Spang, Harry Zuzan, Jeffrey R. Marks, and Joseph R. Nevins
Predicting the Clinical Status of Human Breast Cancer using Gene Expression Profiles - 2000-40 — M.J. Bayarri and M.E. Castellanos
A comparison between p-values for goodness-of-fit checking - 2000-39 — C. Armero and M.J. Bayarri
Queues - 2000-38 — Jonathan Stroud, Peter Mueller, and Nicholas Polson
Nonlinear State-Space Models with State-Dependent Variances - 2000-37 — Valen Johnson, Robert Deaner, Carel van Schaik
Bayesian Analysis of Multi-Study Rank Data with Application to Primate Intelligence Ratings - 2000-36 — Athanasios Kottas, Marcia D. Branco and Alan E. Gelfand
A Nonparametric Bayesian Modeling Approach for Cytogenetic Dosimetry - 2000-35 — Herbert Lee, David Higdon, Zhuoxin Bi, Marco Ferreira, and Mike West
Markov Random Field Models for High-Dimensional Parameters in Simulations of Fluid Flow in Porous Media - 2000-34 — Merlise Clyde and Herbert Lee
Bagging and the Bayesian Bootstrap - 2000-33 — Athanasios Kottas and Alan E. Gelfand
Modeling Variability Order: A Semiparametric Bayesian Approach - 2000-32 — Herbert Lee
A Framework for Nonparametric Regression Using Neural Networks - 2000-31 — Rainer Spang, Harry Zuzan, Mike West, Joseph Nevins, Carrie Blanchette and Jeffrey R. Marks
Prediction and uncertainty in the analysis of gene expression profiles - 2000-30 — Martin B. Hansen, Katja Ickstadt and Robert L. Wolpert
Inverse Problems and a Lévy Process Solution - 2000-29 — Robert L Wolpert and Katja Ickstadt
Inference for Over- and Under-dispersed Point Processes - 2000-28 — Robert L Wolpert
Lévy Processes - 2000-27 — Robert L Wolpert
The Gamma Function - 2000-26 — Raquel Prado, Gabriel Huerta and Mike West
Bayesian time-varying autoregressions: Theory, methods and applications - 2000-25 — Tobias Mueller, Rainer Spang and Martin Vingron
Concepts for the Estimation of Amino Acid Substitution Models - 2000-24 — Rainer Spang, Marc Rehmsmeier and Jens Stoye
Sequence Database Search Using Jumping Alignments - 2000-23 — Rainer Spang and Martin Vingron
Limits of homology detection by pairwise sequence comparison - 2000-22 — Mike West
Bayesian Regression Analysis in the Large p, Small n Paradigm - 2000-21 — J.M. Perez and J. Berger
Analysis of mixture models using expected posterior priors, with application to classification of gamma ray bursts. - 2000-20 — Jaeyong Lee and James O. Berger
Space-Time Modeling of Vertical Ozone Profiles - 2000-19 — Seiichi Ishida, Harry Zuzan, Rainer Spang, G. Leone, Mike West, and Joseph R. Nevins
The relationship of cell cycle-regulated gene expression to E2F-mediated gene regulation in mammalian fibroblasts - 2000-18 — Herbert Lee
Model Selection for Neural Network Classification - 2000-17 — Giovanni Parmigiani, Heidi W. Ashih, Greg P. Samsa, Pam Duncan, Sue Min Lai, and David B. Matchar
Conversion of stroke disability measures: A case study in Bayesian analysis of longitudinal ordinal categorical data using negative dependence - 2000-16 — George Casella, Michael Lavine and Christian Robert
Explaining the Perfect Sampler - 2000-15 — Mike West, Joseph R Nevins, Jeffrey R Marks, Rainer Spang, Carrie Blanchette & Harry Zuzan
DNA microarray data analysis and regression modeling for genetic expression profiling - 2000-14 — Simon Godsill, Arnaud Doucet and Mike West
Maximum a posteriori sequence estimation using Monte Carlo particle filters - 2000-13 — Hedibert Freitas Lopes, Peter Mueller and Gary L. Rosner
Meta-Analysis for Longitudinal Data Models using Multivariate Mixture Priors - 2000-12 — James Berger, Victor De Oliveira and Bruno Sanso
Objective Bayesian Analysis of Spatially Correlated Data - 2000-11 — Susan Paddock, Fabrizio Ruggeri, Michael Lavine and Mike West
Tree models for nonparametric Bayesian inference - 2000-10 — James Berger, Jayanta K. Ghosh, and Nitai Mukhopadhyay
Approximations to the Bayes Factor in Model Selection Problems and Consistency Issues - 2000-09 — James Berger and Luis Pericchi
Objective Bayesian Methods for Model Selection: Introduction and Comparison - 2000-08 — J.M. Perez and J. Berger
Expected posterior prior distributions for model selection - 2000-07 — Brani Vidakovic
Gamma-Minimax: A Paradigm for Conservative Robust Bayesians - 2000-06 — Brani Vidakovic and Fabrizio Ruggeri
BAMS Method: Theory and Simulations - 2000-05 — Merlise Clyde, Peter Guttorp, and Erin Sullivan
Effects of Ambient Fine and Coarse Particles on Mortality in Phoenix, Arizona - 2000-04 — Herbert Lee
A Noninformative Prior for Neural Networks - 2000-03 — James F Burgess, Viridiana Lourdes and Mike West
Profiling mental health provider trends in health care delivery systems - 2000-02 — Brani Vidakovic, Gabriel Katul and John Albertson
Multiscale Denoising of Self-Similar processes - 2000-01 — Simon Godsill, Arnaud Doucet and Mike West
Monte Carlo smoothing for non-linear time series - 1999-38 — M. J. Bayarri and J. Morales
Bayesian Measures of Surprise for Outlier Detection - 1999-37 — Yongdai Kim and Jaeyong Lee
Bayesian Bootstrap for Proportional Hazards Models - 1999-36 — M. J. Bayarri and A. M. Mayoral
Bayesian Design for Comparison of Effect-Sizes - 1999-35 — Steven MacEachern and Peter Mueller
Efficient MCMC Schemes for Robust Model Extensions using Encompassing Dirichlet Process Mixture Models - 1999-34 — Donald Berry, Peter Mueller, Andy Grieve, Michael Smith, Tom Parke, Richard Blazek, Neil Mitchard, Chris Brearly, and Michael Krams
Bayesian Designs for Dose-Ranging Drug Trials - 1999-33 — Michael Lavine, Brian Beckage and James Clark
Modelling Seedling Mortality - 1999-32 — Sarat C. Dass and Jaeyong Lee
On the Consistency of Bayes Factors for Testing Point Null versus Nonparametric Alternatives - 1999-31 — Jonathan R. Stroud, Peter Mueller and Gary L. Rosner
Simulation-Based Methods for Optimal Sampling Times in Population PK/PD Studies - 1999-30 — James Berger
Bayesian Analysis Today and Tomorrow - 1999-29 — Peter Mueller, Don Berry, Andy Grieve, Michael Smith, and Michael Krams
Simulation-Based Sequential Bayesian Design - 1999-28 — Merlise A. Clyde
Model Uncertainty and Health Effect Studies for Particulate Matter - 1999-27 — Jaeyong Lee
On Posterior Consistency in Selection Models - 1999-26 — Jaeyong Lee and James O. Berger
Sempiparametric Bayesian Analysis of Selection Models - 1999-25 — Yongdai Kim and Jaeyong Lee
On Posterior Consistency of Survival Models - 1999-24 — G.Katul, B. Vidakovic, and J. Albertson
Estimating Global and Local Scaling Exponents in Turbulent Flows using Wavelet Transformations - 1999-23 — Donald Malec and Peter Mueller
A Bayesian Semi-Parametric Model for Small Area Estimation - 1999-22 — Peter Mueller, Fernando Quintana and Gary Rosner
Hierarchical Meta-Analysis over Related Non-parametric Bayesian - 1999-21 — Peter Mueller, Gary Rosner, Lurdes Inoue and Mark W. Dewhirst
A Bayesian Model for Detecting Changes in Nonlinear Profiles - 1999-20 — Jonathan Stroud, Peter Mueller, and Bruno Sanso
Dynamic Models For Spatio-Temporal Data - 1999-19 — Paul L. Speckman, Jaeyong Lee and Dongchu Sun
Existence of the MLE and propriety of posteriors for a general multinomial choice model - 1999-18 — Roger Woodard, Dongchu Sun, Zhuoqiong He and Steven L. Sheriff
Estimating Hunting Success Rates via Bayesian Generalized Linear Models - 1999-17 — Dongchu Sun and Seong-Wook Kim
Intrinsic priors for testing ordered exponential means - 1999-16 — Dongchu Sun, Robert K. Tsutakawa, Hoon Kim and Zhuoqiong He
Spatio-time interaction with disease mapping - 1999-15 — Dongchu Sun, Paul L. Speckman and Robert K. Tsutakawa
Random effects in generalized linear mixed models (GLMMs) - 1999-14 — J. Liu and M. West
Combined parameter and state estimation in simulation-based filtering. In Sequential Monte Carlo Methods in Practice (eds: A. Doucet et al), Cambridge University Press (to appear). - 1999-13 — T. Sellke, M.J. Bayarri, and J. Berger
Calibration of P-values for testing precise null hypotheses - 1999-12 — Mike West, Viridiana Lourdes and Jim Burgess
Statistical analyses of psychiatric patient return times in the V.A. Hospital system. - 1999-11 — John Molitor and Dongchu Sun
Bayesian Analysis under Ordered Functions of Parameters - 1999-10 — Dongchu Sun, Robert K. Tsutakawa and Zhuoqiong He
Propriety of posteriors with improper priors - 1999-09 — Clelia Di Serio, Lawrence B. Marks, Giovanni Parmigiani
The Effect of Surgery for Esophageal Cancer: Evidence from Alternative Statistical Techniques - 1999-08 — Gabriel Huerta and Hedibert Freitas Lopes
Bayesian forecasting and inference in latent structure for the Brazilian GDP and Industrial Production Index - 1999-07 — D.A. Berry, A. Thor, C. Cirrincione, S. Edgerton, H. Muss, J. Marks, E. Liu, W. Wood, D. Budman, M. Perloff, W. Peters, and I.C. Henderson
Scientific Inference and Predictions; Multiplicities and Convincing Stories: A Case Study in Breast Cancer Therapy - 1999-06 — Merlise A. Clyde and Edward I. George
Empirical Bayes Estimation in Wavelet Nonparametric Regression - 1999-05 — Raquel Prado, Mike West and Andrew Krystal
Multi-channel EEG analyses via dynamic regression models with time-varying lag/lead structure - 1999-04 — James Berger and Alessandra Guglielmi
Bayesian testing of a parametric model versus nonparametric alternatives - 1999-03 — Giovanni Parmigiani, Steven Skates
Estimating the Age of Onset of Detectable Asymptomatic Cancer - 1999-02 — Andrew Krystal, Mike West, Raquel Prado, Henry Greenside, Scott Zoldi, and Richard Weiner
The EEG Effects Of ECT: Implications for rTMS. - 1999-01 — Peter Mueller and Brani Vidakovic
MCMC Methods in Wavelet Shrinkage: Non-Equally Spaced Regression, Density and Spectral Density Estimation - 1998-43 — Sarat C. Dass and James O. Berger
Unified Bayesian and Conditional Frequentist Testing of Composite Hypotheses - 1998-42 — E. Conrad Lamon III and Merlise A. Clyde
Accounting for Model Uncertainty in Prediction of Chlorophyll a in Lake Okeechobee - 1998-41 — Mike West, Omar Aguilar and Viridiana Lourdes
V.A. Hospital Quality Monitors: 1988-1997 - 1998-40 — M. J. Bayarri and James O. Berger
P-values for Composite Null Models - 1998-39 — Giovanni Petris and Mike West
Bayesian time series modelling and prediction with long-range dependence - 1998-38 — Hedibert Lopes and Mike West
Bayesian model assessment in factor analysis - 1998-37 — Giovanni Parmigiani, Donald A. Berry, Eric P. Winer, Claudia Tebaldi, J. Dirk Iglehart, and Leonard R. Prosnitz
Is Axillary Lymph Node Dissection Indicated for Early Stage Breast Cancer---A Decision Analysis - 1998-36 — Nicola G. Best, Katja Ickstadt and Robert L. Wolpert
Spatial Poisson regression for health and exposure data measured at disparate resolutions - 1998-35 — Dave Higdon and Steve Yamamoto,
Bayesian Image Analysis in Scanning Magnetorisistance Microscopy - 1998-34 — Brani Vidakovic and Gabriel Katul
A Note on Wavelet Transformations of Some Processes Useful in Modeling of Turbulence Measurements - 1998-33 — Jacob Laading, Colin McCulloch, Valen Johnson, David Gilland and Ronald Jaszczak
A Hierarchical Feature Based Deformation Model Applied to 4D Cardiac SPECT Data - 1998-32 — M.J. Bayarri and A.M. Mayoral
Graphical Models for Hierarchical Computations in the Analysis and Design of Replications - 1998-31 — Terence Tao and Brani Vidakovic
Almost Everywhere Convergence of General Wavelet Shrinkage Estimators - 1998-30 — Brani Vidakovic and Gabriel Katul
The Filtering of Ozone Concentration Measurements in a Turbulent Air Stream Using Bayesian Models in the Wavelet Domain - 1998-29 — Donald A. Berry
Benefits and Risks of Screening Mammography for Women in Their Forties: a Statistical Appraisal - 1998-28 — Y. Cheng, F. Su and D. Berry
Group Sequential Strategies in Two-Armed Bandit Problems: Implications for Clinical Sample Sizes - 1998-27 — Hedibert Freitas Lopes, Ajax R.B. Moreira and Alexandra M. Schmidt
Hyperparameter Estimation in Forecast Models - 1998-26 — Valen Johnson
Posterior Distributions on Normalizing Constants - 1998-25 — Raquel Prado
Software for non-stationary time series analysis and decompositions via TVAR models. - 1998-24 — Katja Ickstadt, Robert Wolpert and Xuedong Lu
Modeling travel demand in Portland, Oregon - 1998-23 — Robert Wolpert and Katja Ickstadt
Simulation of Lévy Random Fields - 1998-22 — Katja Ickstadt and Robert Wolpert
Spatial Regression for Marked Point Processes - 1998-21 — Merlise Clyde and Edward I. George
Flexible Empirical Bayes Estimation for Wavelets - 1998-20 — Merlise Clyde
Bayesian Model Averaging and Model Search Strategies - 1998-19 — Andrew Krystal, Raquel Prado and Mike West
New Methods of Time Series Analysis for Non-stationary EEG Data: Eigenstructure Decompositions of Time Varying Autoregressions - 1998-18 — Giovanni Parmigiani
Decision Models In Screening For Breast Cancer - 1998-17 — Dave Higdon, Jenise Swall and John Kern
Non-Stationary Spatial Modeling - 1998-16 — M.J. Bayarri and James O. Berger
Quantifying Surprise in the Data and Model Verification - 1998-15 — Pier Luigi Conti
Large Sample Bayesian Analysis for Geo/G/1 Discrete Time Queueing Models - 1998-14 — Bruno Sanso and Lelys Guenni
A Non-stationary Multisite Model for Rainfall - 1998-13 — Dave Higdon
Estimation of Genetic Effects in the Presence of Spatial Trend and Censoring - 1998-12 — Susan Paddock, Jeffery Abrams, Hyman Muss, Joseph Aisner and Donald A. Berry
Choosing Dose of Megestrol Acetate in Metastatic Breast Cancer: A Bayesian Approach to Clinical Problem Solving - 1998-11 — Marianna Pensky and Brani Vidakovic
Adaptive Wavelet Estimator for Nonparametric Density Deconvolution - 1998-10 — Peter Mueller
Simulation Based Optimal Design - 1998-09 — Francesca Dominici and Giovanni Parmigiani
Bayesian Semi-parametric Analysis Of Developmental Toxicology Data - 1998-08 — Gloria M. Petersen, Giovanni Parmigiani and Duncan Thomas
Missense Mutations in Disease Genes: A Bayesian Approach to Evaluate Causality - 1998-07 — Omar Aguilar, Gabriel Huerta, Raquel Prado & Mike West
Bayesian Inference on Latent Structure in Time Series - 1998-06 — Marianna Pensky and Brani Vidakovic
On Non-equally spaced wavelet regression - 1998-05 — Edwin Iversen Jr
spatially Disaggregated real estate indices - 1998-04 — Michael Lavine
Another Look at Conditionally Gaussian Markov Random Fields - 1998-03 — Omar Aguilar and Mike West
Bayesian dynamic factor models and variance matrix discounting for portfolio allocation - 1998-02 — David Rios Insua and Peter Mueller
Feedforward neural networks for nonpametric regression - 1998-01 — Claudia Tebaldi and Mike West
Bayesian inference and imputation in contingency tables with missing data - 1997-47 — Omar Aguilar and Mike West
Analysis of Hospital Quality Monitors using Hierarchical Time Series Models (Formerly 1997-22b) - 1997-46 — M.J. Bayarri and James O. Berger
Measures of Surprise in Bayesian Analysis - 1997-45 — James Berger and Luis Pericchi
Accurate and Stable Bayesian Model Selection: the Median Intrinsic Bayes Factor - 1997-44 — James Berger and Julia Mortera
Default Bayes Factors for One-Sided Hyothesis Testing - 1997-43 — James Berger and Luis Pericchi
On Criticisms and Comparisons of Default Bayes Factors for Model Selection and Hypothesis Testing - 1997-42 — Rouyong Yang and James Berger
A Catalog of Noninformative Priors - 1997-41 — James Berger, Ben Boukai, and Yinping Wang
Simultaneous Bayesian-Frequentist Sequential Testing of Nested Hypotheses - 1997-40 — James Berger, Luis Pericchi, and Julia Varshavsky
Bayes Factors and Marginal Distributions In Invariant Situations - 1997-39 — Tsai-Hung Fan and James Berger
Robust Bayesian Displays for Standard Inferences Concerning A Normal Mean - 1997-38 — Edwin Iversen Jr., Giovanni Parmigiani, Donald A. Berry and Joellen M. Schildkraut
Genetic Susceptibility and Survival: Application to Breast Cancer - 1997-37 — Peter Mueller and Gary Rosner
Semi-parametric PK/PD Models - 1997-36 — Giovanni Parmigiani
Designing Observation Times for Interval Censored Data - 1997-35 — Colin McCulloch, Jacob Laading, and Valen Johnson
Image Feature Identification Via Bayesian Hierarchical Models - 1997-34 — Giovanni Parmigiani, Donald A. Berry and Omar Aguilar
Determining Carrier Probabilities for Breast Cancer Susceptibility Genes BRCA1 and BRCA2: USER'S MANUAL - 1997-33 — J. Lynn Palmer and Peter Mueller
Population Models for Hematologic Data - 1997-32 — Peter Mueller and J. Lynn Palmer
Optimal Design in Longitudinal Data Models - 1997-31 — Fabrizio Ruggeri, Michael Wiper and David Rios Insua
Bayesian Model Selection for M/G/1 Queues - 1997-30 — Fabrizio Ruggeri and Siva Sivaganesan
On a Global Sensitivity Measure for Bayesian Inference - 1997-29 — Jacinto Martin, David Rios Insua, and Fabrizio Ruggeri
Issues in Bayesian Loss Robustness - 1997-28 — C. Armero and M.J. Bayarri
Dealing with Uncertainties in Queues and Networks of Queues: A Bayesian Approach - 1997-27 — M.J. Bayarri and A.M. Mayoral
Designing "Successful" Replications - 1997-26 — Giovanni Parmigiani, Donald A. Berry, Edwin Iversen. Jr., Peter Mueller, Joellen Schildkraut and Eric P. Winer
Modeling Risk of Breast Cancer and Decisions about Genetic Testing - 1997-25 — Bruno Sanso and Peter Mueller
Redesigning a Network of Rainfall Stations - 1997-24 — Edwin Iversen Jr., Giovanni Parmigiani and Donald Berry
Validating Bayesian Prediction Models: a Case Study in Genetic Susceptibility to Breast Cancer - 1997-23 — Susan Paddock, Mike West, Stan Young and Merlise Clyde
Mixture models in the exploration of structure-activity relationships in drug design - 1997-22 — Mike West and Omar Aguilar
Studies of Quality Monitor Time Series: The V.A. Hospital System (Formerly 1997-22a) - 1997-21 — Don Berry
Using a Bayesian Approach in Medical Device Development - 1997-20 — Dalene Stangl and Don Berry
Bayesian Statistics in Medicine: Where Are We and Where Should We Be Going? - 1997-19 — Dalene Stangl and Gabreil Huerta
Using Bayesian Hierarchical Models to Assess the Impact of Managed-Care Strategies - 1997-18 — Claudia Tebaldi, Mike West and Alan F Karr
Statistical analyses of freeway traffic flows - 1997-17 — Cinzia Carota and Giovanni Parmigiani
Semiparametric Regression for Count Data - 1997-16 — Dave Higdon
A Process-Convolution Approach to Modeling Temperatures in the North Atlantic Ocean - 1997-15 — Mike West and Michael D. Escobar
Computing Bayesian Nonparametric Hierarchical Models. - 1997-14 — Mike West, Raquel Prado and Andrew Krystal
Evaluation and Comparison of EEG traces: Latent Structure in Non-Stationary Time Series. - 1997-13 — Gabriel Huerta and Mike West
Bayesian Inference on Periodicities and Component Spectral Structure in Time Series - 1997-12 — Dennis A Turner, Y Chen, Howard Wheal and Mike West
Modelling of Synaptic Responses: Physiological and Statistical Approaches In Mathematical Modelling in the Neurosciences: From Ionic Channels to Neural Syncytia, (ed: R.R. Poznanski), to appear. - 1997-11 — Michael Lavine and Susan Lozier
A Markov Random Field Spatio-temporal Analysis of Ocean Temperature - 1997-10 — Ynayan Ma, Gilbert Strang, and Brani Vidakovic
The First Moment of Wavelet Random Variables - 1997-09 — Gabriel Katul, John Schieldge, Greg Kuhn, Cheng-I Hsieh, and Brani Vidakovic
Skin Temperature Perturbations Induced by Surface Layer Turbulence - 1997-08 — Giovanni Petris
Bayesian Spectral Analysis of Long Memory Time Series - 1997-07 — Julian Besag and David Higdon
Bayesian Inference for Agricultural Field Experiments - 1997-06 — M. Clyde and H DeSimone-Sasinowska
Accounting for Model Uncertainty in Poisson Regression Models: Particulate Matter and Mortality in Birmingham, AL - 1997-05 — David Rios Insua and Brani Vidakovic
Wavelet-Based Random Densities - 1997-04 — Brani Vidakovic and Fabrizio Ruggeri
Expansion Estimation By Bayes Rules - 1997-03 — Gabriel Huerta and Mike West
Priors and Component Structures in Autoregressive Time Series Models - 1997-02 — Michael Lavine and Mark Schervish
Bayes Factors: What They Are and What They Are Not - 1997-01 — James O. Berger, Brunero Liseo, and Robert L Wolpert
Integrated Likelihood Methods for Eliminating Nuisance Parameters - 1996-32 — Robert L. Wolpert
Testing Simple Hypotheses - 1996-31 — Colin McCulloch, Jacob Laading, Alyson Wilson, and Valen Johnson
A shape-based framework for automated image segmentation - 1996-30 — D. Rios Insua, K.A. Salewicz, P. Mueller, and C. Bielza
Bayesian Methods in Reservoir Operations: The Zambezi River Case - 1996-29 — P. Mueller, G. Parmigiani, J. Schildkraut, and L. Tardella
A Bayesian Hierarchical Approach for Combining Case-control and Prospective Studies - 1996-28 — M. Clyde
Strategies for Model Mixing in Generalized Linear Models - 1996-27 — G. Rosner, and P. Mueller
Bayesian Population Pharmacokintecs and Pharmacodynamic Analyses Using Mixture Models - 1996-26 — P. Mueller and Insua D. Rios
Posterior Simulation for Feed Forward Neural Network Models - 1996-25 — Donald A. Berry
Teaching Elementary Bayesian Statistics with Real Applications in Science - 1996-24 — Concha Bielza and Brani Vidakovic
Time Adaptive Wavelet Denoising - 1996-23 — Gabriel Katul and Brani Vidakovic
Identification of Low-Dimensional Energy Containing/Flux Transporting Eddy Motion in the Atmospheric Surface Layer Using Wavelet Thresholding Methods - 1996-22 — Omar Aguilar
Wavelet and Autoregressive Decompositions for Evaluating Frequency Compositions in Time Series - 1996-21 — David M. Higdon, Valen E. Johnson, James E. Bowsher, Timothy G. Turkington, David R. Gilland, and Ronald J. Jaszczak
Fully Bayesian Estimation of Gibbs Hyperparameters for Emission Computed Tomography Data - 1996-20 — Valen E. Johnson
An Alternative to Traditional GPA for Evaluating Student Performance - 1996-19 — Katja Ickstadt and Robert Wolpert
Multiresolution Assessment of Forest Inhomogeneity - 1996-18 — Cinzia Carota and Giovanni Parmigiani
A Dirichlet Process Elaboration Diagnostic for Binomial Goodness of Fit - 1996-17 — David Higdon
Auxiliary Variable Methods for Markov Chain Monte Carlo with Applications - 1996-16 — Tebaldi Claudia and Mike West
Bayesian Inference on Network Traffic Using Link Count Data - 1996-15 — Francesca Dominici, Giovanni Parmigiani, Kenneth H. Reckhow, and Robert L. Wolpert
Combining Information from Related Regressions - 1996-14 — Francesca Dominici, Giovanni Parmigiani, Robert L. Wolpert, and Vic Hasselblad
Meta-analysis of Migraine Headache Treatments: Combining Information From Heterogeneous Designs - 1996-13 — Raquel Prado and Mike West
Exploratory Modelling of Multiple Non-Stationary Time Series: Latent Process Structure and Decompositions - 1996-12 — Giovanni Parmigiani, Greg P. Samsa, Marek Ancukiewicz, Joseph Lipscomb, Vic Hasselblad and David B. Matchar
Assessing Uncertainty in Cost-Effectiveness Analyses: Application to a Complex Decision Model - 1996-11 — Ramanan Gopalan and Donald A. Berry
Bayesian Multiple Comparisons Using Dirichlet Process Priors - 1996-10 — Francesca Dominici, Giovanni Parmigiani, and Merlise Clyde
Conjugate Analysis of Multivariate Normal Data With Incomplete Observations - 1996-09 — Steven N. MacEachern, Merlise Clyde and Jun S. Liu
Sequential Importance Sampling for Nonparametric Bayes Models: The Next Generation - 1996-08 — Michael Lavine
The 'Bayesics' of Ranked Set Sampling - 1996-07 — Concha Bielza, Peter Mueller, and David Rios Insua
Monte Carlo Methods for Decision Analysis with Applications to Influence Diagrams - 1996-06 — Giovanni Parmigiani, Donald A. Berry, and Omar Aguilar
Determining Carrier Probabilities for Breast Cancer Susceptibility Genes BRCA1 and BRCA2 - 1996-05 — Valen Johnson
A Coupling-Regeneration Scheme for Diagnosing Convergence in Markov Chain Monte Carlo Algorithms - 1996-04 — Michael Lavine
Conditionality is Alive and Well - 1996-03 — Carl de Moor, David Higdon, S.G. Hilsenbeck, G.M. Clark, and D.D. von Hoff
Incorporating Toxicity Grade Information in the Continual Reassessment Method Using Markov Chain Monte Carlo - 1996-02 — Enrique de Alba and Omar Aguilar
Constrained Forecasts in Arma Models: A Bayesian Approach - 1996-01 — Katja Ickstadt and Robert L. Wolpert
Spatial Correlation Versus Spatial Variation: Gamma/Poisson Hierarchical Models in Comparison - 1995-44 — Agostino Nobile, Chandra R. Bhat, and Eric I. Pas
A Random Effects Multinomial Probit Model of Car Ownership Choice - 1995-43 — Robert L. Wolpert, and Katja Ickstadt
Gamma/Poisson Random Field Models for Spatial Statistics - 1995-42 — Bruno Sansó and Lelys Guenni
A Bayesian Estimation of Parameters of a Space-Time Model for Rainfall - 1995-41 — Keith Abrams and Bruno Sansó
Model Discrimination in Meta-Analysis - A Bayesian Perspective - 1995-40 — P. Muliere and Luca Tardella
Approximating Distributions of Random Functionals of Ferguson-Dirichlet Priors - 1995-39 — Merlise Clyde, Peter Mueller, Giovanni Parmigiani
Exploring Expected Utility Surfaces by Markov Chains - 1995-38 — Pacifico M. Perone, G. Salinetti and L. Tardella
A Note on the Geometry of Bayesian Global and Local Robustness - 1995-37 — Merlise Clyde, Giovanni Parmigiani and Brani Vidakovic
Multiple Shrinkage and Subset Selection in Wavelets (revised 9/15/97) - 1995-36 — Josesph Lipscomb, Giovanni Parmigiani and Vic Hasselblad
Combining Expert Judgement by Hierarchical Modelling: An Application to Physician Staffing - 1995-35 — Fabrizio Ruggeri and Brani Vidakovic
A Bayesian Decision Theoretic Approach to Wavelet Thresholding - 1995-34 — Brani Vidakovic and Peter Mueller
Wavelet Shrinkage with Affine Bayes Rules with Applications - 1995-33 — Peter Mueller and Brani Vidakovic
Bayesian Inference with Wavelets: Density Estimation - 1995-32 — Dalene Stangl
Bayesian Methods in the Analysis of Clinical Trials: A Discussion - 1995-31 — Peter Mueller and David Rios Insua
Issues in Bayesian Analysis of Neural Network Models - 1995-30 — Miguel A. Arino
Time Series Forcasts Via Wavelets: An Application to Car Sales in the Spanish Market - 1995-29 — D.M. Higdon, V.E. Johnson, T.G. Turkington, J.E. Bowser, D.R. Gilland, and R.J. Jaszczak
Fully Bayesian Estimation of Gibbs Hyperparameters for Emission Computed Tomography Data? - 1995-28 — Donald A. Berry, Robert W. Chen, Alan Zame, David E. Heath and Larry A. Shepp
Bandit Problems with Infinitely Many Arms - 1995-27 — Marina Vannucci and Brani Vidakovic
Preventing the Dirac Disaster: Wavelet Based Density Estimation - 1995-26 — Marina Vannucci
Nonparametric Density Estimation Using Wavelets - 1995-25 — Alex Reutter and Valen Johnson
General Strategies for Assessing Convergence of MCMC Algorithms Using Coupled Sample Paths - 1995-24 — Agostino Nobile
A Hybrid Markov Chain for the Bayesian Analysis of the Multinomial Probit Model - 1995-23 — Merlise Clyde and Kathryn Chaloner
Constrained Design Strategies for Improving Normal Approximations in Nonlinear Regression Problems - 1995-22 — Claudia Cargnoni, Peter Mueller, and Mike West
Bayesian Forecasting of Multinomial Time Series Through Conditionally Gaussian Dynamic Models - 1995-21 — Miguel A. Arino and Brani Vidakovic
On Wavelet Scalograms and Their Applications in Economic Time Series - 1995-20 — Mike West
Bayesian Time Series: Models and Computations for the Analysis of Time Series in the Physical Sciences - 1995-19 — James E. Bowsher, Valen E. Johnson, Timothy G. Turkington, Ronald J. Jaszczak, Carey E. Floyd Jr. and R. Edward Coleman
Bayesian Reconstruction and Use of Anatomical A Priori Information for Emission Tomography - 1995-18 — Mike West
Time Series Decomposition and Analysis in a Study of Oxygen Isotope Records - 1995-17 — James H. Albert
Bayesian Computation Using Minitab - 1995-16 — James H. Albert
Teaching Inference Using Bayes and Discrete Models - 1995-15 — James H. Albert
Bayesian Selection of Log-Linear Models - 1995-14 — Aluisio Pinheiro and Brani Vidakovic
Estimating The Square Root of A Density Via Compactly Supported Wavelets - 1995-13 — Robert L. Wolpert
Laplace Control Variates: A New Swindle - 1995-12 — Mike West
Modelling and Robustness Issues in Bayesian Time Series Analysis - 1995-11 — Mike West
Bayesian Forecasting - 1995-10 — Robert L. Wolpert
Testing Simple Hypotheses - 1995-09 — Giovanni Parmigiani, Marek Ancukiewicz and David Matchar
Decision Models in Clinical Recommendations Development: The Stroke Prevention Policy Model - 1995-08 — Robert L. Wolpert, and Michael Lavine
Markov Random Field Priors for Univariate Density Estimation - 1995-07 — Merlise Clyde and Giovanni Parmigiani
Orthogonalizations and Prior Distributions for Orthogonalized Model Mixing - 1995-06 — Judy L. Palmer, and Peter Mueller
Bayesian Optimal Design in Population Models of Hematologic Data - 1995-05 — Gabriel Katul and Brani Vidakovic
The Partitioning of Attached and Detached Eddy Motion in the Atmospheric Surface Layer Using Lorentz Wavelet Filtering - 1995-04 — Prem Goel and Brani Vidakovic
Wavelet Transformations as Diversity Enhancers - 1995-03 — Jim Albert
A MCMC Algorithm to Fit a General Exchangeable Model - 1995-02 — Jim Albert and Chib Siddhartha
Bayesian Residual Analysis for Binary Response Regression Models - 1995-01 — Dalene K. Stangl and Joel B. Greenhouse
Assessing Placebo Response Using Bayesian Hierarchical Survival Models - 1994-41 — Alaattin Erkanli, Refik Soyer, and Adrian Angold
Optimal Bayesian Two-Phase Designs for Screening Tests - 1994-40 — Mike West
Statistical Inference For Gravity Models in Transportation Flow Forecasting - 1994-39 — Alaattin Erkanli, Thomas A. Mazzuchi and Refik Soyer
Bayesian Computations for Reliability Growth Modeling - 1994-38 — Steven MacEachern and Peter Mueller
Efficient Estimation of Mixture of Dirichlet Process Models - 1994-37 — David M. Higdon, Valen E. Johnson, Timothy G. Turkington, and James E. Bowsher
Fully Bayesian Reconstruction of Positron Emission Tomography Data - 1994-36 — Paul Damien and Peter Mueller
A Bayesian Bivariate Failure Time Regression Model - 1994-35 — P.W. Laud, A.F.M. Smith and P. Damien
Monte Carlo Methods for Approximating a Posterior Hazard Rate Process - 1994-34 — P. Damien, P.W. Laud, and A.F.M. Smith
Bayesian Estimation of Unimodal Distributions - 1994-33 — Nilgun Morali and Refik Soyer
Optimal Stopping Rules for Software Testing - 1994-32 — Merlise Clyde, Heather DeSimone and Giovanni Parmigiani
Prediction via Orthogonalized Model Mixing - 1994-31 — Merlise A. Clyde and Kathryn Chaloner
The Equivalence of Constrained and Weighted Designs in Multiple Objective Design Problems - 1994-30 — Peter Mueller, Mike West, and Steve MacEachern
Bayesian Models for Non-Linear Auto-Regressions - 1994-29 — Mike West
Elements of Spectral Analysis Lecture notes on time series - 1994-28 — Peter Mueller and Kathryn Roeder
A Bayesian Semiparametric Model for Case-Control Studies With Errors in Variables - 1994-27 — Paul Damien, Prakash Laud and Adrian Smith
Implementation of Bayesian Nonparametric Inference Based on Beta Processes - 1994-26 — P. Damien, P.W. Laud, and A.F.M. Smith
Approximate Random Variate Generation From Infinitely Divisible Distributions With Applications to Bayesian Inference - 1994-25 — Brani Vidakovic and Gabriel Katul
On Wavelet Thresholding Turbulence Signals - 1994-24 — Brani Vidakovic
Nonlinear Wavelet Shrinkage With Bayes Rules and Bayes Factors - 1994-23 — Mike West
Studies of neurological transmission analysis using hierarchical Bayesian mixture models - 1994-22 — Dalene K. Stangl
Prediction and Decision Making Using Bayesian Hierarchical Models - 1994-21 — Cinzia Carota and Giovanni Parmigiani
On Bayes Factors for Nonparametric Alternatives - 1994-20 — Anirban Dasgupta and Brani Vidakovic
Sample Size Problems in Anova: Bayesian Point of View - 1994-19 — Kathryn Burch, Merlise Clyde and Brani Vidakovic
A Bayesian Design for Ecoregional Assessment of Minnesota's Lakes - 1994-18 — Giovanni Parmigiani and Peter Mueller
Simulation Approach to One-Stage and Sequential Optimal Design Problems - 1994-17 — Peter Mueller and Gary Rosner
A Bayesian Population Model with Hierarchical Mixture Priors Applied to Blood Count Data - 1994-16 — Brani Vidakovic
Estimation of a Bounded Normal Mean: Modified Linear and Polynomial Estimators - 1994-15 — A. Dasgupta, Y. Rinott and B. Vidakovic
Stopping Times Related to Diagnostics and Outliers - 1994-14 — Merlise A. Clyde and Giovanni Parmigiani
Protein Construct Storage: Bayesian Variable Selection and Prediction With Mixtures - 1994-13 — Brani Vidakovic and Peter Mueller
Wavelets for Kids - A Tutorial Introduction - 1994-12 — Alyson G. Wilson and Valen E. Johnson
Priors on Scale-Space Templates - 1994-11 — Steven N. MacEachern and Peter Mueller
Estimating Mixture of Dirichlet Process Models - 1994-10 — Gary L. Rosner, and Peter Mueller
Pharmacodynamic Analysis of Hematologic Profiles - 1994-09 — Mike West
Some Statistical Issues in Palaeoclimatology - 1994-08 — Valen E. Johnson
A Note on Stopping Rules in EM-ML Reconstructions of ECT Images - 1994-07 — Valen E. Johnson
Studying Convergence of Markov Chain Monte Carlo Algorithms Using Coupled Sample Paths - 1994-06 — Brani Vidakovic
A Note on Random Densities via Wavelets - 1994-05 — Andy Pole, Jeff Harrison and Mike West
Forecasting and Assessing Structural Change: The Case of Promotional Campaigns - 1994-04 — Gary L. Rosner and Peter Mueller
Modeling Multiple Pharmacodynamic End Points - 1994-03 — Valen E. Johnson
On Bayesian Analysis of Multi-Rater Ordinal Data: An Application to Automated Essay Gradin - 1994-02 — Wilson, Alyson G
Cognitive Factors Affecting Subjective Probability Assessment - 1994-01 — Donald S. Burdick
An Introduction to Tensor Products With Applications to Multiway Data Analysis - 1993-34 — Mike West
Inference in Cyclical Component Dynamic Linear Models (Formerly 1993-A23) - 1993-33 — Sandra Fortini and Fabrizio Ruggeri
Concentration Function and Sensitivity to the Prior - 1993-32 — Fabrizio Ruggeri
Bayesian Comparison of Italian Earthquakes - 1993-31 — Cinzia Carota and Fabrizio Ruggeri
Robust Bayesian Analysis Given Priors on Partition Sets - 1993-30 — Steven N. MacEachern, and L. Mark Berliner
Subsampling the Gibbs Sampler - 1993-29 — Lee Altenberg
The Evolution of Evolvability in Genetic Programming - 1993-28 — Peter Mueller and Andy Pole
Monte Carlo Posterior Integration in GARCH Models - 1993-27 — Merlise Clyde, Peter Mueller, and Giovanni Parmigiani
Optimal Design for Heart Defibrillators - 1993-26 — Valen Johnson, James Bowsher, Timothy Turkington and Ronald Jaszczak
Analysis and Reconstruction of Medical Images Using Prior Information - 1993-25 — Chenchang Li, Peter Mueller, and Giovanni Parmigiani
Optimal Sample Size for Two Binomials - 1993-24 — Saurabh Mukhopadhyay and Brani Vidakovic
Efficiency of Linear Bayes Rules for a Normal Mean-Skewed Priors Class - 1993-22 — Steven MacEachern and Christopher A. Bush
A Semi-Parametric Bayesian Model for Randomized Block Designs - 1993-21 — Saurabh Mukhopadhyay and Malay Ghosh
On the Uniform Approximation of Laplace's Prior by t-Priors in Location Problems - 1993-20 — Cinzia Carota, Giovanni Parmigiani and Nick Polson
Diagnostic Measures for Model Criticism - 1993-19 — Giovanni Parmigiani and Li Chengchang
This paper has been deleted from the series. - 1993-18 — Giovanni Parmigiani
Timing Medical Examinations via Intensity Functions - 1993-17 — Valen J. Johnson
On the Analysis on Multi-Rater Ordinal Data - 1993-16 — Robert L. Wolpert and Chengchang Li
Meta-Analytic Combining of Related Regressions - 1993-15 — Giovanni Parmigiani
Truncated Recursive Algorithms for Scheduling - 1993-14 — David Rios Insua and Kazimierz A. Salewicz
The Operation of Lake Kariba: A Bayesian Analysis - 1993-13 — Dalene Stangl and Saurabh Mukhopadhyay
Balancing Centers and Observations in Multicenter Clinical Trials - 1993-12 — Michael Lavine
Approximate Bayesian Inference for Quantiles - 1993-10 — Brani Vidakovic and David Rios Insua
Some Efficient Simple Rules in Gamma-minimax Estimation - 1993-09 — Brani Vidakovic
All Roads Lead to Rome - Even in the Honeycomb World - 1993-08 — David Rios Insua, Fabrizio Ruggeri, and Brani Vidakovic
Some Results on Posterior Regret Gamma-minimax estimation - 1993-07 — Giovanni Parmigiani and Donald A. Berry
Applications of Lindley Information Measure to the Design of Clinical Experiments - 1993-06 — Michael Lavine and Giovanni Parmigiani
Using Probability to Learn from Data - 1993-05 — Peter Mueller and Giovanni Parmigiani
Numerical Evaluation of Information Theoretic Measures - 1993-04 — Ben Mitchell and Donald Burdick
Slowly Converging Parafac Sequences: Swamps and Two-Factor Degeneracies - 1993-03 — Saurabh Mukhopadhyay and Anirban DasGupta
Uniform Approximation of Bayes Solutions and Posteriors: Frequentistly Valid Bayes Inference - 1993-02 — Mike West, Peter Mueller and M.D. Escobar
Hierarchical Priors and Mixture Models, with Application in Regression and Density Estimation - 1993-01 — Alaattin Erkanli, Dalene Stangl and Peter Mueller
Analysis of Ordinal Data By The Mixture of Probit Links - 1992-38 — Giovanni Parmigiani
Optimal Scheduling of Fallible Inspections - 1992-37 — Jiang Qian, Valen Johnson, James Bowsher, and Ronald Jaszczak
Deterministic Approach to the Posterior Distribution in a Bayesian Imaging Model - 1992-36 — Ben C. Mitchell and Donald S. Burdick
An Empirical Comparison of Resolution Methods for Three-Way Arrays - 1992-35 — Valen Johnson
A Framework for Incorporating Structural Prior Information into the Reconstruction and Restoration of Medical Images - 1992-34 — Giovanni Parmigiani
Design of Partially Observable Survival Data - 1992-33 — Peter Mueller and Giovanni Parmigiani
Optimal Design via Curve Fitting of Monte Carlo Experiments - 1992-32 — Brani Vidakovic
Gamma-Minimax Estimation with Ordered Observations - 1992-31 — Brani Vidakovic
Linear Versus Nonlinear Rules for Mixture Normal Priors - 1992-30 — Anirban DasGupta and Saurabh Mukhopadhyay
Uniform and Subuniform Posterior Robustness: The Sample Size Problem - 1992-29 — Brani Vidakovic
On the Algorithmic Complexity, Universal Prior and Ockham's Razor - 1992-28 — Giovanni Parmigiani
Inspection Times for Stand-by Units - 1992-27 — Al Erkanli and Ram Gopalan
Bayesian Nonparametric Regression: Smoothing Using Gibbs Sampling - 1992-26 — Valen Johnson
A Model for Segmentation and Analysis of Noisy Images - 1992-25 — Brani Vidakovic
On the Efficiency of Affine Rules in Estimating Bounded Multivariate Normal Mean - 1992-24 — Saurabh Mukhopadhyay and Linda Haines
Bayesian D-Optimal Design for Exponential Growth Model - 1992-23 — Pietro Muliere, Giovanni Parmigiani and Nicholas G. Polson
A Note on the Residual Entropy Function - 1992-22 — Brani Vidakovic and Anirban DasGupta
Lower Bounds of Bayesian Risk for Estimating a Normal Variance: With Applications - 1992-21 — Mike West
Bayesian Analysis Under a Successive Sampling Discovery Model - 1992-20 — Mike West and Michael D. Escobar
Computing Bayesian Nonparametric Hierarchical Models. - 1992-19 — Mike West and Dennis A. Turner
Deconvolution of Mixtures in Analysis of Neural Synaptic Transmission - 1992-18 — Valen Johnson, James Bowsher, Jiang Qian, Ronald Jaszczak and Carey Floyd
Analysis and Reconstruction of Medical Images Using Prior Information - 1992-17 — Michael Lavine and A. Mockus
A Nonparametric Bayes Method For Isotonic Regression - 1992-16 — Valen Johnson, James E. Bowsher and Jiang Qian and Ronald Jaszczak
Segmentation and Analysis of Emission Computed Tomography Images - 1992-15 — Alaattin Erkanli
Laplace Approximations for Posterior Expectations When the Mode Occurs at the Boundary of the Parameter Space - 1992-14 — Peter Mueller
Alternatives to the Gibbs Sampling Scheme - 1992-13 — Peter Mueller
Posterior Integration in Dynamic Models - 1992-12 — Alaattin Erkanli, Robert E. Kass, and Alan Genz
Adapting Subregion-Adaptive Integration Software to Problems in Bayesian Inference - 1992-11 — Giovanni Parmigiani
Scheduling Inspections in Reliability - 1992-10 — Valen E. Johnson
This paper has been deleted from the series. - 1992-09 — Peter Mueller, Alaattin Erkanli and Mike West
Bayesian Curve Fitting Using Multivariate Normal Mixtures (Formerly: Alaattin Erkanl, Peter Mueller, and Mike West. Curve Fitting by a Mixture of Dirichlet Process Model) - 1992-08 — Michael Lavine and Larry Wasserman
Can We Estimate N? - 1992-07 — Michael Lavine
A Note On Bounding Monte Carlo Variances - 1992-06 — Mike West
Discovery Sampling and Selection Models - 1992-05 — Al Erkanli
Reconstruction of Marginal Posterior Densities - 1992-04 — Al Erkanli
Approximate Marginal Densities of Coordinate Functions When the Maxima Occurs at the Boundary - 1992-03 — Mike West
Hyperparameter Estimation in Dirichlet Process Mixture Models - 1992-02 — Mike West and Guoliang Cao
Computing Distributions of Order Statistics - 1992-01 — Dennis A. Turner and Mike West
Bayesian Analysis of Mixtures Applied to Postsynaptic Potential Fluctuations - 1991-26 — Michael Lavine and Mike West
Bayesian Method for Classification and Discrimination (Formerly 1991-A03) - 1991-25 — Giovanni Parmigiani
Inspections for Log-Convex Failure Distributions - 1991-24 — Giovanni Parmigiani and Pietro Muliere
Utility and Means in the Thirties - 1991-23 — Giovanni Parmigiani and Pietro Muliere
On Quasi-Means - 1991-22 — Donald S. Burdick, Xin M. Tu and Robert E. Albright
Regression Analysis of Data With Repeated Measurements Using the Method of Successive Differences - 1991-21 — Donald S. Burdick, and Xin M. Tu
Starting Values for Resolution of Trilinear Mixtures: Application in Spectroscopy - 1991-20 — Giovanni Parmigiani and David L. Banks
Preanalysis of Superlarge Industrial Datasets - 1991-19 — Alaattin Erkanli
Asymptotic Expansions for Posterior Expectations Under Non-Standard Conditions - 1991-18 — Mike West and Guoliang Cao
Assessing Mechanisms of Neural Synaptic Activity - 1991-17 — Giovanni Parmigiani and Mark S. Kamlet
A Cost-Utility Analysis of Alternative Strategies in Screening for Breast Cancer - 1991-16 — Giovanni Parmigiani
Optimal Scheduling of Medical Exams: The Case of Breast Cancer - 1991-15 — Valen Johnson
A Model for Segmentation and Analysis of Noisy Images - 1991-14 — Robert Wolpert
Adjusted and Synthetic Likelihoods for Combining Empirical Evidence - 1991-13 — Robert Wolpert, Kenneth H. Reckhow, and Laura J. Steinberg
Bayesian Decision Support Using Environmental Transport-and-Fate Models - 1991-12 — Mike West
On Bayesian Statistics in Astronomical Investigation: Source Detection with Low Particle Counts - 1991-11 — Michael Lavine
More Aspects of Polya Tree Distributions for Statistical Modelling - 1991-10 — Andy Pole, Mike West, and Jeff Harrison
Forecasting and Assessing Structural Change: Campaign Effects - 1991-09 — Mike West
Modelling Time-Varying Hazards and Covariate Effects - 1991-08 — Michael Lavine, Larry Wasserman, and Robert Wolpert
Linearization of Bayesian Robustness Problems - 1991-07 — Valen E. Johnson
Estimating Marginal Posterior Densities in Generalized Linear Models using Quantile Integration - 1991-06 — Robert L. Wolpert and William J. Warren-Hicks
Bayesian Hierarchical Logistic Models for Combining Field and Laboratory Survival Data - 1991-05 — Mike West
Modelling with Mixtures - 1991-04 — Valen E. Johnson
A Technique for Estimating Marginal Posterior Densities in Hierarchical Models Using Mixtures of Conditional Densities (Revision of DP# 89-07) - 1991-02 — Valen E. Johnson and James E. Bowsher
A Simultaneous Segmentation and Reconstruction Model for ECT Images - 1991-01 — Michael Lavine
Some Aspects of Pola Tree Distributions for Statistical Modelling - 1990-20 — Dani Gamerman, Mike West, and Andy Pole
A Guide to SURVIVAL (Formerly 1990-B02) - 1990-19 — David F. Hendry, Edward E. Leamer, and Dale J. Poirier
A Conversation of Econometric Methodology (Formerly 1990-B01) - 1990-18 — Valen E. Johnson, Chin-Tu Chen, Xiaoping Hu, and Wing H. Wong
Aspects of Image Restoration Using Gibbs Priors: Boundary Modelling, Treatment of Blurring, and Selection of Hyperparameters - 1990-17 — Valen E. Johnson, Chin-Tu Chen, Xiaoping Hu, and Wing H. Wong
Image Reconstruction Using A Priori Boundary Information - 1990-16 — Michael D. Escobar and Mike West
Bayesian Prediction and Density Estimation - 1990-15 — David F. Hendry and Jean-Francois Richard
Likelihood Evaluation for Dynamic Latent Variables Models - 1990-14 — Valen E. Johnson
Bayesian Estimation in the Linear Model: The Care of Unknown Dispersion Parameters - 1990-13 — Valen E. Johnson
Convergence Properties of Quantile Integration for Vector-Valued Parameters - 1990-12 — Mike West
Mixture Models, Monte Carlo, Bayesian Updating and Dynamic Models - 1990-11 — Mike West, and Robert L. Winkler
Error Trapping in Binary Databases - 1990-10 — Mike West
Approximating Posterior Distributions by Mixtures - 1990-09 — Jeff Harrison, and Mike West
Dynamic Linear Model Diagnostics - 1990-08 — J. Crosse, and M. West
The Use of Agent Judgements in Reliability Analysis - 1990-07 — Robert C. Marshall, Michael J. Meurer, and Jean-Francois Richard
Delegated Procurement and the Protest Process - 1990-06 — Robert L. Wolpert
Monte Carlo Integration in Bayesian Statistical Analysis - 1990-05 — Michael Lavine
Some Remarks on Extrapolation - 1990-04 — Robert C. Marshall, Michael J. Meurer, and Jean-Francois Richard
The Impact of Reserve Prices on the Technology of Procured Items - 1990-03 — Michael Lavine, Larry Wasserman, and R.L. Wolpert
Bayesian Inference with Specified Prior Marginals - 1990-02 — Mike West
Bayesian Kernel Density Estimation - 1990-01 — Mark F.J. Steel, and Jean-Francois Richard
Bayesian Multivariate Exogeneity Analysis: An Application to a UK Money Demand Equation - 1989-15 — Michael Lavine
A Case Study in Bayesian Sensitivity: Fish Response to Lake Acidification - 1989-14 — Michael Lavine
The Boon of Dimensionality: How To Be A Sensitive Multidimensional Bayesian - 1989-13 — M. West and J. Crosse
Modelling Agent Judgements for Bayesian Updating - 1989-12 — Mike West
Modelling Agent Forecast Distributions - 1989-11 — Mike West
Bayesian Analysis of Agent Opinion - 1989-10 — Mike West
Kernel Density Estimation and Marginalisation (IN-) Consistency - 1989-09 — Robert C. Marshall, Jean-Fancois Richard, and Gary A. Zarkin
Posterior Probabilities of the Independence Axiom With Non-Experimental Data - 1989-08 — Robert C. Marshall, and Jean-Francois Richard
Reserve Pricing At Single-Object Auctions - 1989-07 — Valen E. Johnson
Integration of Hierarchical Models - 1989-06 — John Geweke
Inference and Forecasting for Chaotic Nonlinear Time Series - 1989-05 — J.P. Florens
Models and Inference for Duration Data: A Survey - 1989-04 — Michael Lavine
Local Predictive Influence in Bayesian Regression - 1989-03 — Jean-Pierre Florens, and Jean-Francois Richard
Encompassing in Finite Parametric Spaces - 1989-02 — Jean-Pierre Florens, David F. Hendry, and Jean-Francois Richard
Encompassing and Specificity - 1989-01 — C. Guus E. Boender, and Herman K. van Dijk
Bayesian Estimation of the Weights of Multi-Criteria Decision Alternatives Using Monte Carlo Integrations - 1988-06 — Michael Lavine
Prior Influence in Bayesian Statistics - 1988-05 — David F. Hendry and Jean-Francois Richard
Recent Developments in the Theory of Encompassing - 1988-04 — John Geweke
Acceleration Methods for Monte Carlo Integration in Bayesian Inference - 1988-03 — William A. Barnett, and Apostolos Serletis
A Dispersion-Dependency Diagnostic Test for Aggregation Error: With Applications to Monetary Economics and Income Distribution - 1988-02 — John Geweke
Modelling Nonlinearity with Normal Polynomial Expansions - 1988-01 — William A. Barnett and Piyu Yue
Semiparametric Estimation of the Asymptotically Ideal Model: The AIM Demand System - 1987-9 — Jean-Pierre Florens, David F. Hendry and Jean-Francois Richard
Parsimonious Encompassing: An Application to Non-Nested Hypotheses and Hausman Specification Tests" - 1987-8 — Joseph B. Kadane and Robert L. Winkler
Separating Probability Elicitation from Utilities - 1987-7 — John Geweke
Antithetic Acceleration of Monte Carlo Integration in Bayesian Inference - 1987-6 — Jean-Francois Richard and Mark F.J. Steel
BayesianAnalysis of Systems of Seemingly Unrelated Regression Equations Under a Recursive Extended Natural Conjugate Prior Density - 1987-5 — Fallaw Sowell
Fractional Unit Root Distributions - 1987-4 — Daniel A. Graham, Robert C. Marshall and Jean-Francois Richard
Differential Payments Within a Bidder Coalition and the Shapley Value - 1987-3 — Dennis V. Lindley
Statistical Inference Concerning Hardy-Weinberg Equilibrium - 1987-2 — John Geweke
Bayesian Inference in Econometric Models Using Monte Carlo Integration - 1987-1 — Daniel A. Graham, Robert C. Marshall and Jean-Francois Richard
Auctioneer's Behavior at a Single Object English Auction with Heterogeneous Non-Cooperative Bidders