Ordering and improving the performance of Monte Carlo Markov chains

被引:75
作者
Mira, A [1 ]
机构
[1] Univ Insubria, Dept Econ, I-21100 Varese, Italy
关键词
asymptotic variance; convergence ordering; covariance ordering; efficiency ordering; Metropolis-Hastings algorithm; Peskun ordering; reversible jumps;
D O I
10.1214/ss/1015346319
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
An overview of orderings defined on the space of Markov chains having a prespecified unique stationary distribution is given. The intuition gained by studying these orderings is used to improve existing Markov chain Monte Carlo algorithms.
引用
收藏
页码:340 / 350
页数:11
相关论文
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