Bayesian Model Averaging for Linear Regression Models (1997)

by Adrian E. Raftery , Jennifer A. Hoeting , David Madigan
Venue:Journal of the American Statistical Association
Citations:185 - 13 self

Active Bibliography

47 Model Selection and Accounting for Model Uncertainty in Linear Regression Models – Adrian Raftery, David Madigan, Jennifer Hoeting - 1993
981 Bayes Factors – Robert E. Kass, Adrian E. Raftery - 1995
21 Model uncertainty – Merlise Clyde, Edward I. George - 2004
94 Benchmark Priors for Bayesian Model Averaging – Carmen Fern├índez, Eduardo Ley, Mark F. J. Steel - 2001
42 Bayesian model averaging – Jennifer A. Hoeting, David Madigan , Adrian E. Raftery, Chris T. Volinsky - 1999
89 Bayes factors and model uncertainty – Robert E. Kass, Adrian E. Raftery - 1993
39 Accounting for Model Uncertainty in Survival Analysis Improves Predictive Performance – Adrian Raftery, David Madigan, Chris T. Volinsky - 1995
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
26 A method for simultaneous variable selection and outlier identification in linear regression – Jennifer Hoeting , Adrian E. Raftery , David Madigan - 1996
85 The practical implementation of Bayesian model selection – Hugh Chipman, Edward I. George, Robert E. Mcculloch - 2001
Methods and Criteria for Model Selection – n.n.
7 Simultaneous Variable and Transformation Selection in Linear Regression – Jennifer A. Hoeting, Adrian E. Raftery, David Madigan - 1995
108 Assessment and Propagation of Model Uncertainty – David Draper - 1995
24 Hypothesis Testing and Model Selection Via Posterior Simulation – Adrian E. Raftery - 1995
178 Efficient approximations for the marginal likelihood of Bayesian networks with hidden variables – David Maxwell Chickering, David Heckerman - 1997
50 Prediction via Orthogonalized Model Mixing – Merlise Clyde, Heather DeSimone, Giovanni Parmigiani - 1994
32 Statistical Themes and Lessons for Data Mining – Clark Glymour, David Madigan, Daryl Pregibon, Padhraic Smyth - 1997
36 Mixtures of g-priors for Bayesian variable selection – Feng Liang, Rui Paulo, German Molina, Merlise A. Clyde, Jim O. Berger - 2008
11 Model Selection for Generalized Linear Models via GLIB, with Application to Epidemiology – Adrian E. Raftery, Sylvia Richardson - 1993