Abstract
Journal Article Calibration and empirical Bayes variable selection Get access EdwardI. George, EdwardI. George Department of Management Science and Information Systems, The University of Texas at Austin, Austin, Texas 78712‐1175, U.S.A. egeorge@mail.utexas.edu Department of Statistics, The Wharton School of The University of Pennsylvania, Philadelphia, Pennsylvania 19104‐6302, U.S.A. foster@diskworld.wharton.upenn.edu Search for other works by this author on: Oxford Academic Google Scholar Dean P. Foster Dean P. Foster Department of Management Science and Information Systems, The University of Texas at Austin, Austin, Texas 78712‐1175, U.S.A. egeorge@mail.utexas.edu Department of Statistics, The Wharton School of The University of Pennsylvania, Philadelphia, Pennsylvania 19104‐6302, U.S.A. foster@diskworld.wharton.upenn.edu Search for other works by this author on: Oxford Academic Google Scholar Biometrika, Volume 87, Issue 4, December 2000, Pages 731–747, https://doi.org/10.1093/biomet/87.4.731 Published: 01 December 2000
Keywords
MathematicsBayes' theoremStatisticsEconometricsCalibrationSelection (genetic algorithm)Bayes factorVariable (mathematics)Bayesian probabilityArtificial intelligenceComputer science
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Publication Info
- Year
- 2000
- Type
- article
- Volume
- 87
- Issue
- 4
- Pages
- 731-747
- Citations
- 527
- Access
- Closed
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Cite This
Edward I. George,
Dean P. Foster
(2000).
Calibration and empirical Bayes variable selection.
Biometrika
, 87
(4)
, 731-747.
https://doi.org/10.1093/biomet/87.4.731
Identifiers
- DOI
- 10.1093/biomet/87.4.731