Publications of James O Berger     :chronological  combined  bibtex listing:

Books

1.  Bayesian Statistics 6. Edited by J. Berger, J.M. Bernardo, A.P. David, and A.F.M. Smith. Oxford University Press, London, 1999.
2.  Bayesian Statistics 5. Edited by J. Berger, J.M. Bernardo, A.P. David, and A.F.M. Smith. Oxford University Press, London, 1996.
3.  Bayesian Robustness. Lecture Notes in Statistics. Edited by J. Berger, B. Betro, E. Moreno, L. Pericchi, F. Ruggeri, G. Salinetti, and L. Wasserman.29 Institute of Mathematical Statistics, Hayward, 1996.
4.  Statistical Decision Theory and Related Topics V. Edited by J. Berger and S.S. Gupta. Springer-Verlag, New York, 1994.
5.  Special Issue on Bayesian Analysis. J. Statist. Planning and Inference. Edited by J. Berger.40.2/3 1994. 161-389 pp.
6.  Bayesian Statistics 4. Edited by J. Berger, J.M. Bernardo, A.P. David, and A.F.M. Smith. Oxford University Press, London, 1992.
7. J. Berger and R. Wolpert. The Likelihood Principle: A Review and Generalizations. 2nd edition, IMS Monograph Series Hayward, California, 1988.
8.  Statistical Decision Theory and Related Topics IV. Edited by J. Berger and S.S. Gupta.1 and 2 Springer-Verlag, New York, 1987.
9. J. Berger. Statistical Decision Theory and Bayesian Analysis. Springer-Verlag, New York, 1985.
10. J. Berger and R. Wolpert. The Likelihood Principle: A Review and Generalizations. Institute of Mathematical Statistics Monograph Series  1984.
11.  Statistical Decision Theory and Related Topics III. Edited by J. Berger and S.S. Gupta.1 and 2 Academic Press, New York, 1982.
12. J. Berger. Statistical Decision Theory: Foundations, Concepts, and Methods. Springer-Verlag, New York, 1980.

Papers Published

1. J. Berger. "Discussions of the following articles." Bayesian Statistics II (2005). ("Ways of specifying prior opinons" by Persi Diaconis "Subjective probability modeling with elliptic distributions" by J.M. Dickey and C.Chong-Hong "Bayesian analysis of survival curves for cancer patients following treatment" by Bruce Hill "Highly informative priors" by E.T. Jaynes)
2. J. Berger. "Extended Abstract: "Bayesian testing of precise hypothesis"." Methods of Operations Research 62, Proceedings of the XIV Symposium on Operations Research (2005): 499-501.
3. J. Berger. "Discussion of "Replication and meta-analysis in parapsychology" by J. Utts." Statistical Science 6 (2005): 379-382.
4. J. Berger. "Extended Abstract: "A review of Bayesian function estimation"." Estimation Fonctionnelle, Prébublications 91-55, Mathématiques (2005): 71-79.
5. J. Berger. "Discussion of "Fractional Bayes factors for model comparison" by A. O'Hagan." J. Roy. Statist. Soc. B 57 (2005): 130-131.
6. J. Berger. "Discussion of "Some issues in the foundations of statistics" by David Freedman." Foundations of Science 1 (2005): 41-44.
7. J. Berger. "Discussion of "Modelling and robustness issues in Bayesian time series analysis" by Mike West." Bayesian Robustness (2005).
8. J. Berger. "Letter: Comment on "Simple counterexamples against the conditionality principle" by I.S. Helland." American Statistician 50 (2005): 382-383.
9. J. Berger. "Discussion of "Statistical inference and Monte Carlo algoithms" by George Casella." Test 5 (2005): 293-295.
10. J. Berger. "Discussion of "Why should clinicians care about Bayesian methods" by Robert A.J. Matthews." J. Statist. Planning and Inference 94 (2005): 65-67.
11. J. Berger. "Could Fisher, Jeffreys and Neyman have agreed on testing." Statistical Science (2003).
12. J. Berger and Mortera, J.. "Default Bayes factors for non-nested hypothesis testing." J. American Statistical Association 94 (2003): 542-554.
13. Bayarri, M.J., Berger, J.O., Higdon, D., Kennedy, M.C., Kottas, A., Paulo, R., Sacks, J., Cafeo, J.A., Cavendish, J. and Tu, J.. "A framework for validation of computer models." Proceedings of the Workshop on Foundations for V&V in the 21st Century (2002).
14. Pérez, J.M. and Berger, J.. "Expected posterior prior distributions for model selection." Biometrika 89 (2002): 491-512.
15. Easterling, R.G., and Berger, J.O.. "Statistical foundations for the validation of computer models." Proceedings of the Workshop on Foundations for V&V in the 21st Century (2002).
16. J. Berger and Pericchi, L.. "Training samples in objective Bayesian model selection." ISDS Discussion Paper 02-14 (2002).
17. Dass, S. and Berger, J.. "Unified Bayesian and conditional frequent testing of composite hypoetheses." Scandinavian Journal of Statistics (2002).
18. Barbieri, M. and Berger, J.. "Optimal predictive model selection." ISDS Discussion Paper 02-02 (2002).
19. J. Berger and Guglielmi, A.. "Bayesian testing of a parametric model versus nonparametric alternatives." J. American Statistical Association 96 (2001): 174-184.
20. Sellke, T., Bayarri, M.J. and Berger, J.. "Calibration of P-values for testing precise null hypotheses." The American Statistician 55 (2001): 62-71.
21. Mossman, D. and Berger, J.. "Intervals for post-test probabilities: a comparison of five methods." Medical Decision Making 21 (2001): 498-507.
22. J. Berger, De Oliveira, B. and Sanso, B.. "Objective Bayesian analysis of spatially correlated data." J. American Statistical Association 96 (2001): 1361-1374.
23. J. Berger and Pericchi, L.. "Objective Bayesian methods for model selection: introduction and comparison." Model Selection Institute of Mathematical Statistics Lecture Notes - Mongraph Series 38 (2001): 135-207.
24. Lee, J. and Berger, J.. "Semiparametric Bayesian analysis of selection models." J. American Statistical Association 96 (2001): 1397-1409.
25. J. Berger. "Bayesian analysis: a look at today and thoghts of tomorrow." J. American Statistical Association 95 (2000): 1269-1276.
26. Fan, T.H. and Berger, J.. "Robust Bayesian displays for standard inferences concerning a normal mean." Computational Statistics and Data Analysis 33 (2000): 381-399.
27. Bayarri, M.J. and Berger, J.. "P-values for composite null models (with discussion)." J. Amer. Statist. Assoc. 95 (2000): 1127-1142.
28. J. Berger, Ghosh J.K., and Mukhopadhyay, N.. "Approximations and consistency of Bayes factors as model dimension grows." Techical Report (1999).
29. Berger, J., Liseo, B. and Wolpert, R.. "Integrated likelihood methods for eliminating nuisance parameters (with discussion)." Statistical Science 14 (1999): 1-28.
30. Berger, J., Boukai, B. and Wang, Y.. "Simultaneous Bayesian-frequentist sequential testing of nested hypotheses." Biometrika 86 (1999): 79-92.
31. Berger, J. and Mortera, J.. "Default Bayes factors for non-tested hypothesis testing." J. Amer. Statist. Assoc. 94 (1999): 542-554.
32. Bayarri, M.J. and Berger, J.. "Robust Bayesian analysis of selection models." Ann. Statist. 26 (1998): 645-659.
33. Sun, D. and Berger, J.. "Reference priors with partial information." Biometrika 85 (1998): 55-71.
34. Berger, J., Philippe, A. and Robert, C.. "Estimation of quadratic functions: noninformative priors for non-centrality parameters." Statistica Sinica 8 (1998): 359-376.
35. Berger, J., Pericchi, L, and Varshavksy, J.. "Bayes factors and marginal distributions in invariant situations." Sankhya A 60 (1998): 307-321.
36. Berger, J. and Pericchi, L.. "Accurate and stable Bayesian model selection: the median intrinsic Bayes factor." Sankhya B 60 (1998): 1-18.
37. Berger, J. and Pericchi, L.. "On criticisms and comparisons of default Bayes factors for model selection and hypothesis testing (with discussion)." Proceedings of the Workshop on Model Selection (1998).
38. Berger, J., Boukai, B., and Wang, Y.. "Unified frequentist and Bayesian testing of a precise hypothesis (with discussion)." Statistical Science 12.3 (1997): 133-160.
39. Berger, J. and Boukai, B.. "Unification of frequentist and Bayesian testing." 51st Session of the International Statistical Institute (1997).
40. Berger, J. and Pericchi, L.. "The intrinsic Bayes factor for model selection and prediction." J. Amer. Statist. Assoc. 91 (1996): 109-122.
41. Berger, J. and Strawderman, W.E.. "Choice of hierarchical priors: admissibility in estimation of normal means." Ann. Statist. 24 (1996): 931-951.
42. Berger, J. and Salinetti, G.. "Approximation of Bayes decision problems: the epigraphical approach." Ann. Operations Research 56 (1995): 1-13.
43. Berger, J.. "Recent developments and applications of Bayesian analysis." 50th Session of the International Statistical Institute (1995).
44. Sun, D. and Berger, J.. "Bayesian sequential reliability for Weibull and related distributions." Annals of the Institute of Statist. 46 (1994): 221-249.
45. Berger, J. and Yang, R.. "Noninformative priors and Bayesian testing for the AR(1) model." Econometric Theory 10 (1994): 461-482.
46. Berger, J., Brown, L. and Wolpert, R.. "A unified conditional frequentist and Bayesian test for fixed and sequential hypothesis testing." Ann. Statist. 22 (1994): 1787-1807.
47. Berger, J. and Mortera, J.. "Robust Bayesian hypothesis testing in the presence of nuisance parameters." J. Statist. Planning and Inference 40 (1994): 357-373.
48. Berger, J. and Moreno, E.. "Bayesian robustness in bidimensional models: prior independence." J. Statist. Planning and Inference 40 (1994): 161-176.
49. Yang, R. and Berger, J.. "Estimation of a covariance matrix using the reference prior." Ann. Statist. 22 (1994): 1195-1211.
50. Berger, J.. "An overview of robust Bayesian analysis (with Discussion)." Test 3 (1994): 5-124.
51. Fong, K.H. and Berger, J.. "Ranking, estimation and hypothesis testing in unbalanced models -- a Bayesian aporoach." Statistics and Decisions 11 (1993): 1-24.
52. Sivaganesan, S. and Berger, J.. "Robust Bayesian analysis of the binomial empirical Bayes problem." Canadian J. Statist. 21 (1993): 107-119.
53. Oh, M.S. and Berger, J.. "Integration of multimodal functions by Monte Carlo importance sampling." J. Amer. Statist. Assoc. 88 (1993): 450-456.
54. Berger, J. and Sun, D.. "Bayesian analysis for the poly-Weibull distribution." J. Amer. Statist. Assoc. 88 (1993): 1412-1418.
55. Berger, J. and Chen, M.H.. "Predicting retirement patterns: prediction for a multinomial distribution with constrained parameter space." The Statistician 42 (1993): 427-443.
56. Andrews, R., Berger, J. and Smith, M.. "Bayesian estimation of manufacturing effects in a fuel economy model." J. of Applied Econometrics 8 (1993): S5-S18. (Reprinted in Econometric Inference Using Simulation Techniques (H. Van Dijk, et. al., Eds.), pp. 21-34, Wiley, Chichester)
57. Sivaganesan, S., Berliner, L.M. and Berger, J.. "Optimal robust credible sets for contaminated priors." Statist. and Prob. Letters 18 (1993): 383-388.
58. Berger, J. and Bernardo, J.M.. "Ordered group reference priors with application to the multinomial problem." Biometrika 79 (1992): 25-38.
59. Oh, M.S. and Berger, J.. "Adaptive importance sampling in Monte Carlo integration." J. Statist. Comput. Simul. 41 (1992): 143-168.
60. Berger, J.. "A comparison of minimal Bayesian tests of precise hypotheses." Rassegna di Metodi Statistici ed Applicazioni 7 (1992): 43-78.
61. Berger, J. and Jeffreys, W.. "The application of robust Bayesian analysis to hypothesis testing and Occam's razor." Journal of the Italian Statistical Society 1 (1992): 17-32.
62. Jeffreys, W. and Berger, J.. "Ockham's razor and Bayesian analysis." American Scientist 80 (1992): 64-72.
63. J. Berger. "Discussion of "Bayesian nonparametric prediction and statistical inference" by Bruce Hill." Bayesian Analysis in Statistics and Econometrics (1992): 76-80.
64. J. Berger. "Discussions of the following article in Bayesian Statistics IV)." (1992). (M.J. Bayarri's "A BAD view of weighted distributions and selection models" J.K. Ghosh's "Noninformative Priors" J. Hodges's "Who knows what alternative lurks in the heart of significance tests" D. Lindley's "Is our view of Bayesian statistics too narrow?" R. Royall's "The elusive concept of statistical evidence" L. Wasserman's "Recent methodological advances in robust Bayesian inference")
65. Angers, J.F. and Berger, J.. "Robust hierarchical Bayes estimation of exchangeable means." Canadian J. of Statistics 19 (1991): 39-56.
66. Fan, T.H. and Berger, J.. "Behavior of the posterior distribution and inferences for a normal mean with t prior distributions." Statistics and Decisions 10 (1991): 99-120.
67. Ye, K.Y. and Berger, J.. "Noninformative priors for inferences in exponential regression models." Biometrika 78 (1991): 645-656.
68. Berger, J. and Mortera, J.. "Bayesian analysis with limited communication." J. Statist. Planning and Inference 28 (1991): 1-24.
69. Berger, J. and Mortera, J.. "Interpreting the stars in precise hypothesis testing." International Statistical Review 59 (1991): 337-353.
70. J. Berger. "Introduction to Statistical Multiple Integration." Contemporary Mathematics 115 (1991).
71. J. Berger. "Extended Abstract: "Testing precise hypotheses: the conflict between classical and Bayesian approaches"." Séminaire de Mathématique Rouen (1991): 121-125.
72. Delampady, M. and Berger, J.. "Lower bounds on posterior probabilities for multinomial and chi-squared tests." Ann. Statist. 18 (1990): 1295-1316.
73. Berger, J.. "Robust Bayesian analysis: sensitivity to the prior." J. Statist. Planning and Inference 25 (1990): 303-328.
74. Fan, T.H. and Berger, J.. "Exact convolution of t-distribution with application to Bayesian inference for a normal mean with t prior distributions." J. Statist. Computation and Simulation 36 (1990): 209-228.
75. Berger, J.. "On the inadmissibility of unbiased estimators." Statistics and Probability Letters 9 (1990): 381-384.
76. J. Berger. "Discussion of "The present position in Bayesian statistics" by D.V. Lindley." Statist. Science 5 (1990): 71-75.
77. J. Berger. "Discussion of "Developments in decision-theoretic varience estimation" by J. Maatta and G. Casella." Statist. Science 5 (1990): 102-103.
78. J. Berger. "Discussion of "An ancillarity paradox which appears in multiple linear regression" by L. Brown." Ann. Statist. 18 (1990): 493-496.
79. J. Berger. "Letter: "Comment on Kempthorne (1989)"." American Statistician 44 (1990): 187-188.
80. Sivaganesan, S. and Berger, J.. "Ranges of posterior measures for priors with unimodal contaminations." Ann. Statist. 17 (1989): 868-889.
81. Berger, J. and Bernardo, J.M.. "Estimating a product of means: Bayesian analysis with reference priors." J. Amer. Statist. Assoc. 84 (1989): 200-207.
82. Lu, K.L. and Berger, J.. "Estimation of normal means: frequentist estimation of loss." Ann. Statist. 17 (1989): 890-906.
83. Lu, K.L. and Berger, J.. "Estimated confidence procedures for multivariate normal means." J. Statist. Planning and Inference 23 (1989): 1-20.
84. Berger, J. and Robert, C.. "Subjective hierarchical Bayes estimation of a multivariate normal mean: on the frequentist interface." Ann. Statist. 18 (1989): 617-651.
85. Berger, J. and Berry, D.. "Analyzing data: Is objectivity possible?." American Scientist 76 (1988): 159-165.
86. Berger, J. and Deely, J.. "A Bayesian approach to ranking and selection of related means with alternatives to AOV methodology." J. Amer. Statist. Assoc. 83 (1988): 364-373.
87. O'Hagan, A. and Berger, J.. "Ranges of posterior probabilities for quasiunimodal priors with specified quantiles." J. Amer. Statist. Assoc. 83 (1988): 503-508.
88. J. Berger. "Discussion of "Bayesian variable selection in linear regression" by T.J. Mitchell and J.J. Beauchamp." J. Amer. Statist. Assoc. 83 (1988): 1033-1034.
89. J. Berger. "Discussion of "The interface between statistics and the philosophy of science" by I.J. Good." Statistical Science 3 (1988): 403-404.
90. Berger, J. and Selke, T.. "Testing of a point null hypothesis: The irreconcilability of significance levels and evidence (with Discussion)." J. Amer. Statist. Assoc. 82 (1987): 112-139. (Reprinted in Foundations of Probability, Econometrics and Economic Games, O.F. Hamouda and J.C.R. Rowley (Eds.), Edward Elgar Publishing, Cheltenham, 1996)
91. Berger, J. and Delampady, M.. "Testing precise hypothesis (with Discussion)." Statist. Science 2 (1987): 317-352.
92. Berger, J. and Berliner, L.M.. "Robust Bayes and empirical Bayes analysis with ε-contaminated priors." Ann. Statist. 14 (1986): 461-486.
93. Angers, J.F. and Berger, J.. "The Stein effect and Bayesian analysis: A reexamination." Commun. in Statist. 15 (1986): 2005-2024.
94. DasGupta, A. and Berger, J.. "Estimation of multiple gamma scale-parameters: Bayes estimation subject to uniform domination." Commun. in Statist. 15 (1986): 2065-2086.
95. J. Berger. "Discussion of "On the consistency of Bayes estimates" by P. Diaconis and D. Freedman." Ann. Statist. 13 (1986): 30-36.
96. J. Berger. "Discussion of "On rereading Jeffreys" by D. Lindley." Pacific Statistical Congress (1986).
97. J. Berger. "Discussion of "The Axions of Subjective Probability" by Peter Fishburn." Statistical Science 1 (1986): 335-358.
98. J. Berger. "Discussion of "On Principles and Arguments to Likelihood" by M. Evans, D. Fraser, and G. Monette." Canadian J. of Statist. 14 (1986): 181-199.
99. Berger, J. and Berliner, L.M.. "Bayesian input in Stein estimation, and a new minimax empirical Bayes estimator." Journal of Econometrics 25 (1985): 87-108.
100. Berger, J.. "The Frequentist viewpoint and conditioning." Proceedings of the Berkeley Conference in honor of Jack Keifer and Jerzy Neyman (1985).
101. J. Berger. "Discussion of "Abraham Wald's work on aircraft survivability" by M. Mangel and F. Samaniego." J. Amer. Statist. Assoc. 79 (1984): 267-270.
102. Berger, J. and Dey, D.. "Combining coordinates in simultaneous estimation of normal means." J. Statist. Planning and Inference 8 (1983): 143-160.
103. Berger, J. and Haff, L.. "A class of minimax estimators of a normal mean vector for arbitrary quadratic loss and unknown covariance matrix." Statistics and Decisions 1 (1983): 105-129.
104. Berger, J. and Wolpert, R.. "Estimating the mean function of a Gaussian process and the Stein effect." J. Multivariate Analysis 13 (1983): 401-424.
105. Dey, D. and Berger, J.. "On truncation of shrinkage estimators in simultaneous estimation of normal means." J. Amer. Statist. Assoc. 78 (1983): 865-869.
106. Hui, S. and Berger, J.. "Empirical Bayes estimation of rates in longitudinal studies." J. Amer. Statist. Assoc. 78 (1983): 753-760.
107. J. Berger. "Discussion of "Construction of improved estimators in multivariate estimation for exponential families" by Ghosh, Hwang, and Tsui." Ann. Statist. 11 (1983): 368-369.
108. J. Berger. "Discussion of "Parametric empirical Bayes inference: theory and applications" by Carl Morris." J. Amer. Statist. Assoc. 78 (1983): 55-57.
109. Berger, J., Berliner, L.M., and Zaman, A.. "General admissibility and inadmissibility results for estimation in a control problem." Ann. Statist. 10 (1982): 838-856.
110. Berger, J.. "Selecting a minimax estimator of a multivariate normal mean." Ann. Statist. 10 (1982): 81-92.
111. Berger, J.. "Bayesian robustness and the Stein effect." J. Amer. Statist. Assoc. 77 (1982): 358-368.
112. Berger, J.. "A robust generalized Bayes estimator and confidence region for a multivariate normal mean." Ann. Statist. 8 (1980): 716-761.
113. Berger, J.. "Improving on inadmissible estimators in continuous exponential families with applications to simultaneous estimation of gamma scale parameters." Ann. Statist. 8 (1980): 545-571.
114. Berger, J.. "A modification of Brown's technique for proving inadmissibility." Recent Developments in Statistical Inference and Data Analysis (1980).
115. Berger, J.. "Minimax estimation of a multivariate normal mean under polynomial loss." J. Multivariate Anal. 8 (1978): 173-180.
116. Berger, J. and Srinivasan, C.. "Generalized Bayes esimators in multivariate problems." Ann. Statist. 6 (1978): 783-801.
117. Berger, J. and Bock, M.E.. "Eliminating singularities of Stein-type estimators of location vectors." J. Roy. Statist. Soc., B 38 (1977): 166-170.
118. Berger, J. Bock, M.E., Brown, L.D., Casella, G., and Gleser, L.. "Minimax estimation of a normal mean vector for arbitrary quadratic loss and unknown covariance matrix." Ann. Statist. 5 (1977): 763-771.
119. Berger, J.. "Inadmissability results for generalized Bayes estimators of coordinates of a location vector." Ann. Statist. 4 (1976): 302-333.
120. Berger, J.. "Admissibility results for generalized Bayes estimators of coordinates of a location vector." Ann. Statist. 4 (1976): 334-356.
121. Berger, J.. "Admissible minimax estimation of a multivariate normal mean with arbitrary quadratic loss." Ann. Statist. 4 (1976): 223-226.
122. Berger, J.. "Tail minimaxity in location vector problems and its applications." Ann. Statist. 4 (1976): 33-50.
123. Berger, J. and Bock, M.E.. "Combining independent normal mean estimation problems with unknown variances." Ann. Statist. 4 (1976): 642-648.
124. Berger, J.. "Minimax estimation of a multivariate normal mean under arbitrary quadratic loss." J. Multivariate Anal. 6 (1976): 256-264.
125. Berger, J.. "Inadmissibility results for the best invariant estimator of two coordinates of a location vector." Ann. Statist. 4 (1976): 1065-1076.
126. Berger, J.. "Minimax estimation of location vectors for a wide class of densities." Ann. Statist. 3 (1975): 1318-1328.

Book Reviews

1. J. Berger. Good Thinking: The Foundation of Probability and Its Applications, by I.J. Good.  J. Amer. Statist. Assoc. 80 (1985): 232-233.
2. J. Berger. Theory of Point Estimation by E.L. Lehmann.  J. Amer. Statist. Assoc. 79 (1984): 941-942.

Chapters

1. J. Berger, Jeffreys, W., Müller, P., Barnes, T.. "Bayesian model selection and analysis for Cepheid star oscillations." Statistical Challenges in Modern Astronomy III. Ed. G. H. Babu and E. D. Feigelson Springer, New York, 2002
2. Bayarri, M.J., Berger, J., and Molina, G.. "Fast simulators for assessment and propagation of model uncertainty." Sensitivity Analysis of Model Output III. Ed. P. Prado and R. Bolado CIEMAT, Madrid, 2002: 219-225.
3. Pérez, J.M. and Berger, J.. "Analysis of mixture models using expected posterior priors, with application to classification of gamma ray bursts." Bayesian Methods with applications to science, policy and offical statistics. Ed. E. George and P. Nanopoulos Publications of the European Communities, Luxembourg, 2001: 401-410.
4. Jeffreys, W., Barnes, T., Rodrigues, R., Berger, J. and Miller, P.. "Model selection for Cepheid star oscillations." Bayesian Methods with applications to science, policy and offical statistics. Ed. E. George and P. Nanopoulos Official Publications of the European Communities, Luxembourg, 2001: 243-252.
5. Bayarri, M.J. and Berger, J.. "P-values for composite null models."  2000: 1127-1142.
6. J. Berger,Rios Insua, D. and Ruggeri, F.. "Bayesian robustness." Robust Bayesian Analysis. Ed. D. Rios Insua and F. Ruggeri Springer-Verlag, New York, 2000: 1-31.
7. Bayarri, M.J. and Berger J.. "Quantifying surprise in the data and model verification." Bayesian Statistics 6. Ed. J.M. Bernardo, et. al. Oxford University Press, Oxford, 1999: 53-82.
8. Berger, J.. "Bayes factors." Encyclopedia of Statistical Sciences, Update Volume 3. Ed. S. Kotz, et. al. Wiley, New York, 1999: 20-29.
9. Berger, J. and Rios Insua. "Recent developments in Bayesian inference with applications in hydrology." Statistical and Bayesian Methods in Hydrological Sciences. Ed. E. Parent et. al. UNESCO Press, Paris, 1998: 43-62.
10. Berger, J.. "Some recent developments in Bayesian analysis, with astronomical illustrations (with discussion)." Statistical Challenges in Modern Astronomy II. Ed. G.H. Babu and E.D. Feigelson Springer, New York, 1997: 15-39.
11. Berger, J., Boukai, B. and Wang, Y.. "Properties of unified Bayesian-frequentist tests." Advances in Statistical Decision Theory and Applications. Ed. S. Panchapakesan and N. Balakrishnan Birkhauser, Boston, 1997: 207-223.
12. Berger, J. and Pericchi, L.. "The intrinsic Bayes factor for linear models." Bayesian Statistics V. Ed. J.M. Bernardo, et. al. Oxford University Press, Oxford, 1996: 23-42.
13. Berger, J. and Pericchi, L.. "On the justification of default and intrinsic Bayes factors." Modeling and Prediction. Ed. J.C. Lee, W. Johnson and A. Zellner Springer-Verlag, New York, 1996: 276-293.
14. Berger, J. and Sun, D.. "Bayesian inference for a class of Poly-Weibull distributions." Bayesian Analysis in Statistics and Econometrics. Ed. D.A. Berry, et. al. Wiley, New York, 1995: 101-114.
15. Bayarri, M.J. and Berger, J.. "Robust Bayesian bounds for outlier detection." Recent Advances in Statistics and Probability. Ed. J. Pérez Vilaplana and M.L. Puri VSP-Internaitonal Science Publishers, Zeist, The Netherlands, 1994: 175-190.
16. Bayarri, M.J. and Berger, J.. "Applications and limitations of robust Bayesian bounds and Type II MLE." Statistical Decision Theory and Related Topics V. Ed. S.S. Gupta and J. Berger Springer-Verlag, New York, 1994: 121-134.
17. Andres, R., Berger, J. and Smith, M.. "Bayesian estimation of fuel economy potential due to technology improvements." Case Studies in Bayesian Statistics. Ed. C. Gatsonis, et. al. Springer-Verlag, New York, 1993: 1-77.
18. Sun, D. and Berger, J.. "Recent developments in Bayesian sequential reliability demonstration testing." Advances in Reliability. Ed. A. Basu North-Holland, Amsterdam, 1993: 379-394.
19. Berger, J.. "The present and future of Bayesian multivariate analysis." Multivariate Analysis: Future Directions. Ed. C.R. Rao North-Holland, Amsterdam, 1993: 25-53.
20. Berger, J. and Bernardo, J.M.. "Reference priors in a variance components problem." Bayesian Analysis in Statistics and Econometrics. Ed. P. Goel and N.S. Iyengar Springer-Verlag, New York, 1992: 177-194.
21. Berger, J. and Bernardo, J.. "On the development of the reference prior method." Bayesian Statistics IV. Ed. J.M. Bernardo, et al. Oxford Univ. Press, Oxford, 1992: 35-60.
22. Berger, J., Bernardo, J.M. and Mendoza, M.. "On priors that maximize expected information." Recent Developments In Statistics and Their Applications. Ed. J. Klein and J.C. Lee Freedom Academy Publishing, 1989: 1-20.
23. Berger, J.. "The Stein Effect." Encyclopedia of Statistical Sciences. Ed. S. Kotz and N.L. Johnson Wiley, New York, 1988
24. Berger, J. and Berry, D.. "The relevance of stopping rules in statistical inference (with Discussion)." Statistical Decision Theory and Related Topics IV. Springer-Verlag, New York, 1988
25. Berger, J. and O'Hagan, A.. "Ranges of posterior probabilities for unimodal priors with specified quantiles." Bayesian Statistics 3. Ed. J.M. Bernardo et. al. Oxford University Press, Oxford, 1988
26. Berger, J.. "An alternative: the estimated confidence approach. Discussion of G. Casella's "Conditionally acceptable frequentist solutions"." Statistical Decision Theory and Related Topics IV. Springer-Verlag, New York, 1988
27. Berger, J.. "Statistical decision theory." The New Palgrave. Ed. J. Eatwell, M. Milgate, and P. Newman Macmillan Press, London, 1987
28. Berger, J.. "Randomization." The New Palgrave. Ed. J. Eatwell, M. Milgate, and P. Newman Macmillan Press, London, 1987
29. Berger, J. and Chen, S.Y.. "Minimaxity of empirical Bayes estimators derived from subjective hyperpriors." Advances in Multivariate Statistical Analysis. Ed. A.K. Gupta D. Reidel, New York, 1987: 1-12.
30. Berger, J.. "Are P-values resonable measures of accuracy?." Pacific Statistical Congress. Ed. I. Francis et. al. North-Holland, Amsterdam, 1986
31. Berger, J.. "Minimax Estimation." Encyclopedia of Statistical Sciences. Ed. S. Kotz and N.L. Johnson Wiley, New York, 1985
32. Berger, J.. "Bayesian Salesmanship." Bayesian Inference and Decision Techniques with Applications: Essays in Honor of Bruno deFinetti. Ed. P.K. Goel and A. Zellner North-Holland, Amsterdam, 1985
33. Berger, J. and Dey, D.. "Truncation of shrinkage estimators of normal means in the nonsymmetric case." Multivariate Analysis VI. Ed. P.R. Krishnaiah North-Holland, Amsterdam, 1985
34. Berger, J.. "In defense of the Likelihood Principle: axiomatics and coherency." Bayesian Statistics II. Ed. J.M. Bernardo, M.H. DeGroot, D.V. Lindley, and A.F.M. Smith North-Holland, Amsterdam, 1985
35. Berger, J.. "A Review of Jack Keifer's Work on Conditional and Estimated Confidence." Collected Works of Jack Keifer, Supplementary Volume. Ed. L.D. Brown, J. Sacks, and I. Olkin Springer-Verlag, New York, 1985: 48-56.
36. Berger, J.. "The Robust Bayesian Viewpoint." Robustness in Bayesian Statistics. Ed. J. Kadane North-Holland, Amsterdam, 1984 Reprinted in The International Library of Critical Writings in Econometrics and Bayesian Inference (N. Polson and G. Tiao, Eds.). Elgar Publishing, Cheltenham (1995)
37. Berger, J.. "Estimation in continuous exponential families: Bayesian estimation subject to risk restrictions and inadmissibility results." Statistical Decision Theory and Related Topics III. Ed. S.S. Gupta and J. Berger Academic Press, New York, 1983
38. Wolpert, R. and Berger, J.. "Incorporating prior information in minimax estimation of the mean of a Gaussian process." Statistical Decision Theory and Related Topics III. Ed. S.S. Gupta and J. Berger Academic Press, New York, 1983
39. Berger, J.. "Multivariate estimation with nonsymmetric loss functions." Optimizing Methods in Statistics. Ed. J.S. Rustagi Academic Press, New York, 1979
40. Berger, J. and Bock, M.E.. "Improved minimax estimators of normal mean vectors for certain types of covariance matrices." Statistical Decision Theory and Related Topics II. Ed. S.S. Gupta and D.S. Moore Academic Press, 1977