序约束下单向分类方差分析模型的Bayes变量选择

Journal of Jilin University Science Edition ›› 2021, Vol. 59 ›› Issue (5): 1093-1100.

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Bayesian Variable Selection in One-Way Classified ANOVA Models under Order Constraints

SHI Haifang¹, LI Cong², JI Yonggang¹

1. School of Science, Civil Aviation University of China, Tianjin 300300, China;
2. College of Mathematics, Jilin University, Changchun 130012, China

Received:2021-01-12 Online:2021-09-26 Published:2021-09-26

Abstract

Abstract: We considered variable selection problem in one-way classified ANOVA under order constraints. We proposed two Bayesian variable selection method based on the stochastic search variable selection (SSVS), and designed a simple and easy to operate Gibbs sampling algorithm for a posteriors sampling. The results of numerical simulation and application examples show that the proposed method is effective.

Key words: Bayesian variable selection, order constraint, stochastic search variable selection

CLC Number:

O212.1

SHI Haifang, LI Cong, JI Yonggang. Bayesian Variable Selection in One-Way Classified ANOVA Models under Order Constraints[J].Journal of Jilin University Science Edition, 2021, 59(5): 1093-1100.

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Bayesian Variable Selection in One-Way Classified ANOVA Models under Order Constraints

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