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Model choice: a minimum posterior predictive loss approach
731
Citations
12
References
1998
Year
Volume 85Bayesian Decision TheoryBayesian StatisticsEngineeringMachine LearningBayesian Hierarchical ModelingMarch 1998Predictive AnalyticsBiostatisticsStatistical InferenceBayesian MethodsNorth CarolinaPublic HealthStatistical Learning TheoryModel ChoiceStatisticsBayesian InferencePrediction Modelling
Journal Article Model choice: A minimum posterior predictive loss approach Get access ALAN E. GELFAND, ALAN E. GELFAND Department of Statistics, University of ConnecticutStorrs, Connecticut 06269-3120, U.S.A.alan@stat.uconn.edu Search for other works by this author on: Oxford Academic Google Scholar SUJIT K. GHOSH SUJIT K. GHOSH Department of Statistics, North Carolina State UniversityRaleigh, North Carolina, 27695-8203, U.S.A.sghosh@stat.ncsu.edu Search for other works by this author on: Oxford Academic Google Scholar Biometrika, Volume 85, Issue 1, March 1998, Pages 1–11, https://doi.org/10.1093/biomet/85.1.1 Published: 01 March 1998 Article history Received: 01 September 1995 Revision received: 01 June 1997 Published: 01 March 1998
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