Posterior property of Student-t linear regression model using objective priors

被引:4
|
作者
Wang, Min [1 ]
Yang, Mingan [2 ]
机构
[1] Michigan Technol Univ, Dept Math Sci, Houghton, MI 49931 USA
[2] San Diego State Univ, Div Epidemiol & Biostat, San Diego, CA 92182 USA
关键词
Bayesian inference; Objective priors; Robustness to outliers; BAYESIAN-ANALYSIS; INFORMATION; INFERENCE;
D O I
10.1016/j.spl.2016.02.003
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
We derive objective priors for linear model with independent Student-t errors with unknown degrees of freedom v. It is shown that most of them preclude the existence of a proper posterior distribution unless we are willing to truncate the possible values of v a priori. (C) 2016 Elsevier B.V. All rights reserved.
引用
收藏
页码:23 / 29
页数:7
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