A Comparison of Scientific and Engineering Criteria for Bayesian Model Selection (1996)

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by David Heckerman , David Maxwell Chickering
Venue:Statistics and Computing
Citations:17 - 0 self

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710 A tutorial on learning with Bayesian networks – David Heckerman - 1995
717 Bayes Factors – Robert E. Kass, Adrian E. Raftery - 1995
9 Learning hybrid Bayesian networks from data – Stefano Monti, Gregory F. Cooper - 1998
155 Efficient approximations for the marginal likelihood of Bayesian networks with hidden variables – David Maxwell Chickering, David Heckerman - 1997
27 Learning Probabilistic Networks – Paul J Krause - 1998
3 On the Accuracy of Stochastic Complexity Approximations – Petri Kontkanen, Petri Myllymaki, Tomi Sil, Henry Tirri
70 Bayes factors and model uncertainty – Robert E. Kass, Adrian E. Raftery - 1993
61 Benchmark Priors for Bayesian Model Averaging – Carmen Fernández, Eduardo Ley, Mark F. J. Steel - 2001
31 2003): “Forecast uncertainties in macroeconometric modelling: an application to the UK economy – Anthony Garratt, Kevin Lee, M. Hashem Pesaran
49 Predictive Model Selection – Purushottam W. Laud, Medical College Wisconsin, Joseph G. Ibrahim - 1995
25 The variable selection problem – Edward I. George - 2000
1 Information and Posterior Probability Criteria for Model Selection in Local Likelihood Estimation – Rafael A. Irizarry - 1998
79 Approximate Bayes Factors and Accounting for Model Uncertainty in Generalized Linear Models – Adrian E. Raftery - 1993
64 A Bayesian Approach to Causal Discovery – David Heckerman, Christopher Meek, Gregory Cooper - 1997
35 Feature Subset Selection by Bayesian networks: a comparison with genetic and sequential algorithms – I. Inza, P. Larrañaga, B. Sierra
1 Schwarz, Wallace, and Rissanen: Intertwining Themes in Theories of Model Selection – Aaron D. Lanterman - 2000
6 Model Selection by Normalized Maximum Likelihood – Jay I. Myung , Daniel J. Navarro , Mark A. Pitt - 2005
41 A tutorial introduction to the minimum description length principle – Peter Grünwald
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