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1
The Intrinsic Bayes Factor for Model Selection and Predicti..:
Berger, James O.
;
Pericchi, Luis R.
Journal of the American Statistical Association. 91 (1996) 433 - p. 109-122 , 1996
Link:
https://www.jstor.org/stable/2291387
RT Journal T1
The Intrinsic Bayes Factor for Model Selection and Prediction
UL https://suche.suub.uni-bremen.de/peid=jstor-2291387&Exemplar=1&LAN=DE A1 Berger, James O. A1 Pericchi, Luis R. PB American Statistical Association YR 1996 SN 0162-1459 K1 Asymptotic Bayes factors K1 Hypothesis testing K1 Noninformative prior K1 Posterior probability K1 Training sample K1 Applied sciences K1 Research methods K1 Modeling K1 Mathematics K1 Applied mathematics K1 Statistics K1 Applied statistics K1 Descriptive statistics K1 Measures of variability K1 Sample size K1 Statistical models K1 Parametric models K1 Information science K1 Information analysis K1 Data analysis K1 Regression analysis K1 Linear regression K1 Linear models K1 Pure mathematics K1 Probability theory K1 Probabilities K1 Philosophy K1 Applied philosophy K1 Philosophy of science K1 Scientific method K1 Mathematical procedures K1 Approximation K1 Behavioral sciences K1 Psychology K1 Cognitive psychology K1 Cognitive processes K1 Decision making K1 Bayesian theories K1 Information resources K1 Research data sources K1 Research review studies K1 Technical reports K1 Predictive modeling JF Journal of the American Statistical Association VO 91 IS 433 SP 109 OP 122 LK http://dx.doi.org/https://www.jstor.org/stable/2291387 DO https://www.jstor.org/stable/2291387 SF ELIB - SuUB Bremen
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