Convergence analysis of the Gibbs sampler for Bayesian general linear mixed models with improper priors
采用非正常先验的贝叶斯一般线性混合模型 Gibbs 采样器收敛分析
Bayesian analysis of data from the general linear mixed model is challenging because any nontrivial prior leads to an intractable posterior density. However, if a conditionally conjugate prior density is adopted, then there is a simple Gibbs sampler that can be employed to explore the posterior density. A popular default among the conditionally conjugate priors is an improper prior that takes a product form with a flat prior on the regression parameter, and so-called power…