Jim Berger's Select Recent Papers

REVIEW PAPERS

MODEL SELECTION AND HYPOTHESIS TESTING
Objective Bayesian Model Selection and Testing Papers
P-value Papers
Conditional Frequentist Testing Papers

INTERFACES BETWEEN STATISTICAL PARADIGMS
Unified Frequentist and Bayesian Testing Papers
Bayes and Integrated Likelihood Paper
Bayes-Frequentist Interfaces in Choice of Priors Papers

CHOICE OF PRIORS, Including Hierarchical, Spatial, and Mixture Model PAPERS

NONPARAMETRIC BAYES PAPERS

ROBUST BAYESIAN ANALYSIS PAPERS

INTERDISCIPLINARY PAPERS























REVIEW
• An overview of robust Bayesian analysis [with Discussion].
  Later version appeared as: Berger, J. (1994)
  `Test' , { 3}, 5--124.
• Bayesian analysis: a look at today and thoughts of tomorrow.
  Later version appeared as: Berger, J. (2000)
  `J. American Statist. Assoc.', {95}, 1269--1276.
• Objective Bayesian methods for model selection: introduction and comparison [with discussion].
  Later version appeared as: Berger, J. and Pericchi, L. (2001)
  In `Model Selection' (P.Lahiri, editor), Institute of Mathematical Statistics Lecture Notes -- Monograph Series volume 38.
• Could Fisher, Jeffreys and Neyman have agreed upon testing?
  Later version appeared as Berger, J. (2003)
  `Statistical Science' (18) 1-32.
• The interplay between Bayesian and frequentist analysis.
  Bayarri, M.J. and Berger, J. (2003)
  Technical Report.
  
  MODEL SELECTION AND HYPOTHESIS TESTING
  
  OBJECTIVE BAYESIAN MODEL SELECTION AND TESTING
• Ockham's razor and Bayesian analysis.
  Later version appeared as: Jefferys, W. and Berger, J. (1992)
  `American Scientist' , { 80}, 64--72.
• The intrinsic Bayes factor for model selection and prediction.
  Later version appeared as: Berger, J. and Pericchi, L. (1996)
  'J.Amer. Statist. Assoc.' , { 91}, 109-122.
• On the justification of default and intrinsic Bayes factors.
  Later version appeared as: Berger, J. and Pericchi, L. (1996)
  In `Modeling and Prediction' , J. C. Lee, et. al. (Eds.), 276--293. Springer-Verlag, New York.
• The intrinsic Bayes factor for linear models.
  Later version appeared as: Berger, J. and Pericchi, L. (1996)
  `Bayesian Statistics V' , J.M. Bernardo, et. al. (Eds.), 23--42, Oxford University Press, Oxford.
• Bayes factors and marginal distributions in invariant situations.
  Later version appeared as: Berger, J., Pericchi, L, and Varshavsky, J. (1998)
  ` Sankhya A' (60), 307-321.
• Default Bayes factors for non-nested hypothesis testing.
  Later version appeared as: Berger, J. and Mortera, J. (1999)
  `J. Amer. Statist. Assoc.', {94}, 542-554.
• Accurate and stable Bayesian model selection: the median intrinsic Bayes factor.
  Later version appeared as: Berger, J. and Pericchi, L. (1998)
  `Sankhya B' (60), 1-18.
• Bayesian testing of a parametric model versus nonparametric alternatives.
  Later version appeared as: Berger, J. and Guglielmi, A. (2001)
  `J. American Statistical Assoc.' (96), 174--184.
• Expected posterior prior distributions for model selection.
  Later version appeared as: Perez, J.M. and Berger, J. (2002)
  `Biometrika' (89), 491--512.
• Objective Bayesian methods for model selection: introduction and comparison [with discussion].
  Later version appeared as: Berger, J. and Pericchi, L. (2001)
  In `Model Selection' (P.Lahiri, editor), Institute of Mathematical Statistics Lecture Notes -- Monograph Series volume 38, Beachwood Ohio, 135--207.
• Approximations to the Bayes factor in model selection problems and consistency issues.
  Later version appeared as Berger, J., Ghosh, J.K., and Mukhopadhyay, N. (2003)
  `Journal of Statistical Planning and Inference' (112), 241-258.
• Bayesian model selection and analysis for Cepheid star oscillations.
  Later version appeared as: Berger, J., Jefferys, W., Müller, P. and Barnes, T. (2001).
  In `Statistical Challenges in Modern Astronomy III,' G. H. Babu and E. D. Feigelson (Eds.). Springer, New York.
• Optimal predictive model selection.
  Barbieri, M.M., and Berger, J.O. (2002).
  ISDS Discussion Paper 02-02.
• Training samples in objective Bayesian model selection.
  Berger, J.O., and Pericchi, L.R. (2002).
  ISDS Discussion Paper 02-14.
  
• An exploration of aspects of Bayesian multiple testing.
  Scott, J., and Berger, J. (2003).
  Technical Report.
  
  CONSTRUCTION AND CALIBRATION OF P-VALUES
• Quantifying surprise in the data and model verification [with discussion].
  Later version appeared as: Bayarri, M.J. and Berger, J. (1998)
  In `Bayesian Statistics 6,' J.M. Bernardo, et.al., eds., 53--82, Oxford University Press, Oxford.
• P-values for composite null models [with discussion].
  Later version appeared as: Bayarri, M.J. and Berger, J. (2000)
  `J. American Statist. Assoc.' (95), 1127--1142.
• Calibration of P-values for testing precise null hypotheses.
  Later version appeared as: Sellke, T., Bayarri, M.J. and Berger, J. (2001)
  `The American Statistician' (55), 62--71.
  
  CONDITIONAL FREQUENTIST TESTING
• A unified conditional frequentist and Bayesian test for fixed and sequential hypothesis testing.
  Later version appeared as: Berger, J., Brown, L. and Wolpert, R. (1994)
  `Ann. Statist.' { 22}, 1787-1807.
• Unified frequentist and Bayesian testing of a precise hypothesis [with discussion].
  Later version appeared as: Berger, J., Boukai, B. and Wang, Y. (1997)
  `Statistical Science' { 12}, 133-160.
• Properties of unified Bayesian-frequentist tests.
  Later version appeared as: Berger, J., Boukai, B. and Wang, Y. (1997)
  In `Advances in Statistical Decision Theory and Applications', S. Panchapakesan and N. Balakrishnan (Eds.), 207--223. Birkhauser, Boston.
• Simultaneous Bayesian-frequentist sequential testing of nested hypotheses.
  Later version appeared as: Berger, J., Boukai, B. and Wang, Y. (1999)
  `Biometrika' {86}, 79-92.
• Unified Bayesian and conditional frequentist testing of composite hypotheses.
  Dass, S. and Berger, J. (1998)
  `ISDS Discussion Paper 98-43'.
• Approximations to the Bayes factor in model selection problems and consistency issues.
  Later version appeared as Berger, J., Ghosh, J.K., and Mukhopadhyay, N. (2003)
  `Journal of Statistical Planning and Inference' (112), 241-258.
• Could Fisher, Jeffreys and Neyman have agreed upon testing?
  Later version appeared as Berger, J. (2003)
  `Statistical Science' (18) 1-32.
  
  INTERFACES BETWEEN STATISTICAL PARADIGMS
  
• Integrated likelihood methods for eliminating nuisance parameters (with discussion).
  Later version appeared as: Berger, J., Liseo, B. and Wolpert, R. (1999)
  `Statistical Science', {14}, 1-28.
• Could Fisher, Jeffreys and Neyman have agreed upon testing?
  Later version appeared as Berger, J. (2003)
  `Statistical Science' (18) 1-32.
• The interplay between Bayesian and frequentist analysis.
  Bayarri, M.J. and Berger, J. (2003)
  Technical Report.
  
  BAYES-FREQUENTIST INTERFACES IN CHOICE OF PRIORS
• Choice of hierarchical priors: admissibility in estimation of normal means.
  Later version appeared as: Berger, J. and Strawderman, W. E. (1996)
  `Annals of Statistics' , { 24}, 931--951.
• Estimation of quadratic functions: noninformative priors for non-centrality parameters.
  Later version appeared as: Berger, J., Philippe, A., and Robert, C. (1998)
  ` Statistica Sinica'(8), 359-376.
• Posterior propriety and admissibility of hyperpriors in normal hierarchical models.
  Berger, J., Strawderman, W. E., and Tang, D. (2004)
  Technical Report.
  
  CHOICE OF PRIORS
• Choice of hierarchical priors: admissibility in estimation of normal means.
  Later version appeared as: Berger, J. and Strawderman, W. E. (1996)
  `Annals of Statistics' , { 24}, 931--951.
• Estimation of quadratic functions: noninformative priors for non-centrality parameters.
  Later version appeared as: Berger, J., Philippe, A., and Robert, C. (1998)
  ` Statistica Sinica'(8), 359-376.
• Reference priors with partial information.
  Later version appeared as: Sun, D. and Berger, J. (1998)
  ` Biometrika'(85), 55-71 .
• A catalog of noninformative priors.
  Yang, R. and Berger, J. (1997)
  ` ISDS Discussion Paper 97-42'.
  
• Objective Bayesian analysis of spatially correlated data.
  Later version appeared as: Berger, J., De Oliveira, V. and Sanso, B. (2001)
  `J. American Statistical Assoc.' {96}, 1361-1374.
• Analysis of mixture models using expected posterior priors, with application to classification of gamma ray bursts.
  Later version appeared as Perez, J.M. and Berger, J. (2001)
  in `Bayesian Methods, with applications to science, policy and official statistics,' E. George and P. Nanopoulos, eds., Official Publications of the European Communities, Luxembourg, 401-410.
• Posterior propriety and admissibility of hyperpriors in normal hierarchical models.
  Berger, J., Strawderman, W. E., and Tang, D. (2004)
  Technical Report.
  
  NONPARAMETRIC BAYES
• Bayesian testing of a parametric model versus nonparametric alternatives.
  Later version appeared as: Berger, J. and Guglielmi, A. (2001)
  `J. American Statistical Assoc.' (96), 174--184.
• Semiparametric Bayesian analysis of selection models
  Later version appeared as: Lee, J. and Berger, J. (1999).
  'J. American Statistical Assoc.' {96}, 1397-1409.
• A framework for validation of computer models
  Later version appeared as: M.J. Bayarri, J.O. Berger, D. Higdon, M.C. K ennedy, A. Kottas, R. Paulo, J. Sacks, J.A. Cafeo, J. Cavendish, C.H. Lin, and J. Tu (2002).
  In `Proceedings of the Workshop on Foundations for V&V in the 21st Century,' D. Pace and S. Stevenson (Eds.). Society for Modeling and Simulation International.
  
  ROBUST BAYESIAN ANALYSIS
• Ockham's razor and Bayesian analysis.
  Later version appeared as: Jefferys, W. and Berger, J. (1992)
  `American Scientist', {80}, 64--72.
• An overview of robust Bayesian analysis [with Discussion].
  Later version appeared as: Berger, J. (1994)
  `Test' , {3}, 5--124.
• Robust Bayesian displays for standard inferences concerning a normal mean.
  Later version appeared as Fan, T. H. and Berger, J. (2000)
  `Computational Statistics and Data Analysis', {33}, 381--399.
• Robust Bayesian analysis of selection models.
  Later version appeared as: Bayarri, M. J. and Berger, J. (1998)
  `Annals of Statistics' (26), 645-659.
• Calibration of P-values for testing precise null hypotheses.
  Later version appeared as: Sellke, T., Bayarri, M.J. and Berger, J. (2001)
  `The American Statistician' (55), 62--71.
• Bayesian testing of a parametric model versus nonparametric alternatives.
  Later version appeared as: Berger, J. and Guglielmi, A. (2001)
  `J. American Statistical Assoc.' (96), 174--184.
  
  INTERDISCIPLINARY
• Bayesian estimation of fuel economy potential due to technology improvements.
  Later version appeared as: Andrews, R., Berger, J. and Smith, M. (1993)
  In `Case Studies in Bayesian Statistics', (C. Gatsonis, et.al., Eds.), pp. 1--77. Springer-Verlag, New York.
• Some recent developments in Bayesian analysis, with astronomical illustrations [with discussion].
  Later version appeared as: Berger, J. (1997)
  In `Statistical Challenges in Modern Astronomy II', G. H. Babu and E. D. Feigelson (Eds.), 15--39. Springer, New York.
• Recent developments in Bayesian inference with applications in hydrology.
  Later version appeared as: Berger, J. and Rios Insua, D. (1998)
  In `Statistical and Bayesian Methods in Hydrological Sciences', E. Parent, et.al (Eds.), 43--62. UNESCO Press, Paris.
• Space-time modeling of vertical ozone profiles.
  Later version appeared as Lee, J. and Berger, J. (2003)
  `Environmetrics' (14) 617-639.
• Bayesian model selection and analysis for Cepheid star oscillations.
  Later version appeared as: Berger, J., Jefferys, W., Müller, P. and Barnes, T. (2001).
  In `Statistical Challenges in Modern Astronomy III,' G. H. Babu and E. D. Feigelson (Eds.). Springer, New York.
• A Bayesian analysis of the Cepheid distance scale.
  Later version appeared as Barnes III, T., Jefferys, W., Berger, J., Müller, P., Orr, K., and Rodriguez, R. (2003).
  `The Astrophysical Journal' (592) 539-554.
• A framework for validation of computer models
  Later version appeared as: M.J. Bayarri, J.O. Berger, D. Higdon, M.C. Kennedy, A. Kottas, R. Paulo, J. Sacks, J.A. Cafeo, J. Cavendish, C.H. Lin, and J. Tu (2002).
  In `Proceedings of the Workshop on Foundations for V&V in the 21st Century,' D. Pace and S. Stevenson (Eds.). Society for Modeling and Simulation International.
• Statistical inverse analysis for a network microsimulator
  Molina, G., Bayarri, M.J., and Berger, J. (2003)
  `ISDS Discussion Paper 03-03'.

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