Limit profiles for reversible Markov chains
Limit profiles for reversible Markov chains
复制标题
可逆马尔可夫链的极限分布
DOI:
10.1007/s00440-021-01061-5
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发表时间:
2021
影响因子:
2
通讯作者:
Nestoridi E
中科院分区:
文献类型:
--
作者:
Nestoridi E
In a recent breakthrough, Teyssier (Ann Probab 48 (5): 2323–2343, 2020) introduced a new method for approximating the distance from equilibrium of a random walk on a group. He used it to study the limit profile for the random transpositions card shuffle. His techniques were restricted to conjugacy-invariant random walks on groups; we derive similar approximation lemmas for random walks on homogeneous spaces and for general reversible Markov chains. We illustrate applications of these lemmas to some famous problems: the k-cycle shuffle, sharpening results of Hough (Probab Theory Relat Fields 165 (1–2): 447–482, 2016) and Berestycki, Schramm and Zeitouni (Ann Probab 39 (5): 1815–1843, 2011), the Ehrenfest urn diffusion with many urns, sharpening results of Ceccherini-Silberstein, Scarabotti and Tolli (J Math Sci 141 (2): 1182–1229, 2007), a Gibbs sampler, which is a fundamental tool in statistical physics, with Binomial prior and hypergeometric posterior, sharpening results of Diaconis, Khare and Saloff-Coste (Stat Sci 23 (2): 151–178, 2008).
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影响因子:
2
作者:
Berestycki N
通讯作者:
Berestycki N
DOI:
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发表时间:
2015
期刊:
影响因子:
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作者:
J. Salez
通讯作者:
J. Salez
DOI:
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发表时间:
--
期刊:
影响因子:
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作者:
通讯作者:
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DOI:
10.1214/10-aop634
发表时间:
2011
期刊:
The Annals of Probability
影响因子:
--
作者:
Berestycki N
通讯作者:
Berestycki N
影响因子:
2
作者:
P. Diaconis;Mehrdad Shahshahan
通讯作者:
Mehrdad Shahshahan