TY  - JOUR
T1  - BAYESIAN VARIABLE SELECTION IN LINEAR REGRESSION AND A COMPARISON
AU  - Yardımcı, Atilla
AU  - Erar, Aydın
PY  - 2001
DA  - December
JF  - Hacettepe Journal of Mathematics and Statistics
PB  - Hacettepe University
WT  - DergiPark
SN  - 2651-477X
SP  - 63
EP  - 76
VL  - 31
LA  - en
AB  - In this study, Bayesian approaches, such as Zellner, Occam's Windowand Gibbs sampling, have been compared in terms of selecting the correctsubset for the variable selection in a linear regression model. The aim ofthis comparison is to analyze Bayesian variable selection and the behaviorof classical criteria by taking into consideration the different values of $\beta$ and$\sigma$ and prior expected levels.
KW  - Bayesian variable selection
KW  - Prior distribution
KW  - Gibbs Sampling
KW  - Markov Chain Monte Carlo.
CR  - .
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UR  - https://dergipark.org.tr/en/pub/hujms/issue//530829
L1  - https://dergipark.org.tr/en/download/article-file/655355
ER  -