Bayesian model averaging (1999)

by Jennifer A. Hoeting , David Madigan , Adrian E. Raftery , Chris T. Volinsky
Venue:STAT.SCI
Citations:41 - 0 self

Active Bibliography

21 Model uncertainty – Merlise Clyde, Edward I. George - 2004
32 Statistical Themes and Lessons for Data Mining – Clark Glymour, David Madigan, Daryl Pregibon, Padhraic Smyth - 1997
Methods and Criteria for Model Selection – n.n.
85 The practical implementation of Bayesian model selection – Hugh Chipman, Edward I. George, Robert E. Mcculloch - 2001
564 Dynamic Bayesian Networks: Representation, Inference and Learning – Kevin Patrick Murphy - 2002
47 Model Selection and Accounting for Model Uncertainty in Linear Regression Models – Adrian Raftery, David Madigan, Jennifer Hoeting - 1993
28 Bayesian Model Averaging in proportional hazard models: Assessing the risk of a stroke – Chris T. Volinsky, David Madigan, Adrian E. Raftery, Richard A. Kronmal - 1997
39 Accounting for Model Uncertainty in Survival Analysis Improves Predictive Performance – Adrian Raftery, David Madigan, Chris T. Volinsky - 1995
184 Bayesian Model Averaging for Linear Regression Models – Adrian E. Raftery, Jennifer A. Hoeting, David Madigan - 1997
38 Bayesian Model Averaging And Model Selection For Markov Equivalence Classes Of Acyclic Digraphs – David Madigan, Steen Andersson, Michael Perlman, Chris Volinsky - 1996
unknown title – Learning Bayesian
849 A tutorial on learning with Bayesian networks – David Heckerman - 1995
178 Efficient approximations for the marginal likelihood of Bayesian networks with hidden variables – David Maxwell Chickering, David Heckerman - 1997
172 A Guide to the Literature on Learning Probabilistic Networks From Data – Wray Buntine - 1996
92 A characterization of Markov equivalence classes for acyclic digraphs – Steen A. Andersson, David Madigan, Michael D. Perlman - 1995
59, Part 2, pp. 233–253 Structural and parameter uncertainty in Bayesian cost-effectiveness models – Christopher H. Jackson, Linda D. Sharples, Simon G. Thompson - 2008
26 A method for simultaneous variable selection and outlier identification in linear regression – Jennifer Hoeting , Adrian E. Raftery , David Madigan - 1996
89 Bayes factors and model uncertainty – Robert E. Kass, Adrian E. Raftery - 1993
981 Bayes Factors – Robert E. Kass, Adrian E. Raftery - 1995