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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