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Rao—Blackwellization for Bayesian Variable Selection and Mo..:

Ghosh, Joyee ; Clyde, Merlise A.
Journal of the American Statistical Association. 106 (2011) 495 - p. 1041-1052 , 2011

Link: https://www.jstor.org/stable/23427572

RT Journal
T1 <Title>Rao—Blackwellization for Bayesian Variable Selection and Model Averaging in Linear and Binary Regression: A Novel Data Augmentation Approach</Title>

UL https://suche.suub.uni-bremen.de/peid=jstor-23427572&Exemplar=1&LAN=DE
				
A1 Ghosh, Joyee
A1 Clyde, Merlise A.
PB American Statistical Association
YR 2011
SN 0162-1459
K1 Mathematics
K1 Pure mathematics
K1 Probability theory
K1 Probabilities
K1 Applied sciences
K1 Research methods
K1 Modeling
K1 Information science
K1 Information analysis
K1 Data analysis
K1 Regression analysis
K1 Linear regression
K1 Applied mathematics
K1 Statistics
K1 Applied statistics
K1 Inferential statistics
K1 Statistical estimation
K1 Estimation methods
K1 Estimators
K1 Linear algebra
K1 Matrix theory
K1 Eigenvalues
K1 Descriptive statistics
K1 Statistical sampling
K1 Sampling methods
K1 Data sampling
K1 Random variables
K1 Stochastic processes
K1 Markov processes
K1 Markov chains
K1 Statistical models
K1 Parametric models
K1 Computer science
K1 Algorithms
JF Journal of the American Statistical Association
VO 106
IS 495
SP 1041
OP 1052
LK http://dx.doi.org/https://www.jstor.org/stable/23427572
DO https://www.jstor.org/stable/23427572
SF ELIB - SuUB Bremen

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