J4 ›› 2010, Vol. 45 ›› Issue (6): 43-45.

• Articles • Previous Articles     Next Articles

Bayesian variable selection based on AIC criteria in linear models

WANG Shu-yun1, SONG Yun-sheng2   

  1. 1. School of Mathematics, Shandong University, Jinan 250100, Shandong, China;
    2. School of Mathematics, Shanxi University, Taiyuan 030006, Shanxi, China
  • Received:2010-02-01 Online:2010-06-16 Published:2010-06-17

Abstract:

The problem of Bayesian variable selection in linear models is studied. Different with classical method of Bayesian variable selection, AIC criteria is used to construct the posterior distribution of the subset model. Simulation studies are also provided to demonstrate the better performance of the proposed method.
 

Key words: Bayesian variable selection; AIC criteria; Posterior distribution

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