Bayes factors and model uncertainty (1993)

by Robert E. Kass , Adrian E. Raftery
Venue:DEPARTMENT OF STATISTICS, UNIVERSITY OFWASHINGTON
Citations:69 - 6 self

Documents Related by Co-Citation

787 Field Theory – B de Wit, J Smith - 1986
1583 Estimating the dimension of a model – G Schwarz - 1978
6235 Maximum likelihood from incomplete data via the EM algorithm – A. P. Dempster, N. M. Laird, D. B. Rubin - 1977
79 Approximate Bayes Factors and Accounting for Model Uncertainty in Generalized Linear Models – Adrian E. Raftery - 1993
41 On substantive research hypotheses, conditional independence graphs and graphical chain models – N Wermuth, S L Lauritzen - 1989
214 Model selection and accounting for model uncertainty in graphical models using Occam's window – David Madigan, Adrian E. Raftery - 1993
877 A Bayesian method for the induction of probabilistic networks from data – Gregory F. Cooper, Tom Dietterich - 1992
1081 Local Computations with Probabilities on graphical structures and their applications to expert systems (with discussion – S L Lauritzen, D J Spiegelhalter
100 Hyper markov laws in the statistical analysis of decomposable graphical models – A P Dawid, S L Lauritzen - 1993
345 Stochastic Simulation – B D Ripley - 1987
76 Fractional Bayes Factors for Model Comparison (with discussion – O’Hagan - 1995
124 Probable networks and plausible predictions - a review of practical Bayesian methods for supervised neural networks – David J.C. MacKay, Cavendish Laboratory
124 Posterior Predictive Assessment of Model Fitness Via Realized Discrepancies – Andrew Gelman, Xiao-li Meng, Hal Stern - 1996
86 Bayesianly justifiable and relevant frequency calculations for the applied statistician – D B Rubin - 1984
14 Approximate Bayes factors for generalized linear models – A E Raftery - 1988
126 Bayesian model choice: Asymptotics and exact calculations – A E Gelfand, D K Dey - 1994
718 Bayes Factors – Robert E. Kass, Adrian E. Raftery - 1995
896 Pattern Recognition and Neural Networks – B D Ripley - 1996
295 Bayesian computations via the Gibbs sampler and related Markov chain Monte Carlo methods – A F M Smith, G O Roberts - 1993