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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 <Title>The Intrinsic Bayes Factor for Model Selection and Prediction</Title>

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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