Statistical Themes and Lessons for Data Mining (1997)

by Clark Glymour , David Madigan , Daryl Pregibon , Padhraic Smyth
Citations:32 - 3 self

Active Bibliography

42 Bayesian model averaging – Jennifer A. Hoeting, David Madigan , Adrian E. Raftery, Chris T. Volinsky - 1999
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
21 Model uncertainty – Merlise Clyde, Edward I. George - 2004
36 Learning Probabilistic Networks – Paul J Krause - 1998
unknown title – Learning Bayesian
Preprint of the Book Chapter: “Bayesian Versus Frequentist Inference” – Eric-jan Wagenmakers, Michael Lee, Tom Lodewyckx, Geoff Iverson
2 Bayesian Networks for Genomic Analysis – Paola Sebastiani, Maria M. Abad, Marco F. Ramoni - 2004
3 Towards an inclusion driven learning of Bayesian Networks – Robert Castelo, Tomas Kocka - 2002
37 Improved learning of Bayesian networks – Robert Castelo, Craig Boutilier - 2001
24 Regression with Multiple Candidate Models: Selecting or Mixing? – Yuhong Yang - 1999
564 Dynamic Bayesian Networks: Representation, Inference and Learning – Kevin Patrick Murphy - 2002
4 Model Selection for Two View Geometry: A Review – P.H.S. Torr - 1998
89 Bayes factors and model uncertainty – Robert E. Kass, Adrian E. Raftery - 1993
981 Bayes Factors – Robert E. Kass, Adrian E. Raftery - 1995
26 A method for simultaneous variable selection and outlier identification in linear regression – Jennifer Hoeting , Adrian E. Raftery , David Madigan - 1996
1 Determinants of Foreign Direct Investment – Bruce A. Blonigen, Jeremy Piger - 2010
7 Simultaneous Variable and Transformation Selection in Linear Regression – Jennifer A. Hoeting, Adrian E. Raftery, David Madigan - 1995
39 Accounting for Model Uncertainty in Survival Analysis Improves Predictive Performance – Adrian Raftery, David Madigan, Chris T. Volinsky - 1995