James Berger
James Berger
Professor of Statistics, Duke University
Verified email at stat.duke.edu - Homepage
Title
Cited by
Cited by
Year
Statistical decision theory and Bayesian analysis
JO Berger
Springer Science & Business Media, 2013
113552013
Statistical decision theory and Bayesian analysis
JO Berger
Springer Science & Business Media, 2013
113552013
Redefine statistical significance
DJ Benjamin, JO Berger, M Johannesson, BA Nosek, EJ Wagenmakers, ...
Nature human behaviour 2 (1), 6-10, 2018
16992018
Testing a Point Null Hypothesis: The Irreconcilability of P Values and Evidence
JO Berger, T Sellke
Journal of the American statistical Association 82 (397), 112-122, 1987
13151987
The intrinsic Bayes factor for model selection and prediction
JO Berger, LR Pericchi
Journal of the American Statistical Association 91 (433), 109-122, 1996
12461996
Statistical decision theory: foundations, concepts, and methods
J Berger
Springer Science & Business Media, 2013
10692013
Statistical decision theory: foundations, concepts, and methods
J Berger
Springer Science & Business Media, 2013
10692013
The likelihood principle
JO Berger, RL Wolpert
IMS, 1988
10091988
On the development of the reference prior method
JO Berger, JM Bernardo
Bayesian statistics 4 (4), 35-60, 1992
9501992
Testing precise hypotheses
JO Berger, M Delampady
Statistical Science, 317-335, 1987
8761987
Calibration of values for testing precise null hypotheses
T Sellke, MJ Bayarri, JO Berger
The American Statistician 55 (1), 62-71, 2001
8682001
Optimal predictive model selection
MM Barbieri, JO Berger
The annals of statistics 32 (3), 870-897, 2004
8622004
A framework for validation of computer models
MJ Bayarri, JO Berger, R Paulo, J Sacks, JA Cafeo, J Cavendish, CH Lin, ...
Technometrics 49 (2), 138-154, 2007
7482007
A framework for validation of computer models
MJ Bayarri, JO Berger, R Paulo, J Sacks, JA Cafeo, J Cavendish, CH Lin, ...
Technometrics 49 (2), 138-154, 2007
7482007
The case for objective Bayesian analysis
J Berger
Bayesian analysis 1 (3), 385-402, 2006
7202006
Bayesian factor regression models in the “large p, small n” paradigm
JM Bernardo, MJ Bayarri, JO Berger, AP Dawid, D Heckerman, ...
Bayesian statistics 7, 733-742, 2003
6892003
An overview of robust Bayesian analysis
JO Berger, E Moreno, LR Pericchi, MJ Bayarri, JM Bernardo, JA Cano, ...
Test 3 (1), 5-124, 1994
6821994
Ockham's razor and Bayesian analysis
WH Jefferys, JO Berger
American Scientist 80 (1), 64-72, 1992
6691992
Statistical analysis and the illusion of objectivity
JO Berger, DA Berry
American Scientist 76 (2), 159-165, 1988
6181988
Estimating the integrated likelihood via posterior simulation using the harmonic mean identity
AE Raftery, MA Newton, JM Satagopan, PN Krivitsky
bepress, 2006
609*2006
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