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Ordering and improving the performance of Monte Carlo Markov chains
被引:75
作者
:
Mira, A
论文数:
0
引用数:
0
h-index:
0
机构:
Univ Insubria, Dept Econ, I-21100 Varese, Italy
Univ Insubria, Dept Econ, I-21100 Varese, Italy
Mira, A
[
1
]
机构
:
[1]
Univ Insubria, Dept Econ, I-21100 Varese, Italy
来源
:
STATISTICAL SCIENCE
|
2001年
/ 16卷
/ 04期
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
共 42 条
[41]
2-J
[42]
Tierney L, 1998, ANN APPL PROBAB, V8, P1
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共 42 条
[41]
2-J
[42]
Tierney L, 1998, ANN APPL PROBAB, V8, P1
←
1
2
3
4
5
→