Estimating errors reliably in Monte Carlo simulations of the Ehrenfest model

被引:36
作者
Ambegaokar, Vinay [1 ]
Troyer, Matthias [2 ]
机构
[1] Cornell Univ, Atom & Solid State Phys Lab, Ithaca, NY 14853 USA
[2] ETH, Theoret Phys, CH-8093 Zurich, Switzerland
关键词
Markov processes; Monte Carlo methods; physics education;
D O I
10.1119/1.3247985
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
We use the Ehrenfest urn model to illustrate the subtleties of error estimation in Monte Carlo simulations. We discuss how the smooth results of correlated sampling in Markov chains can fool one's perception of the accuracy of the data and show via numerical and analytical methods how to obtain reliable error estimates from correlated samples.
引用
收藏
页码:150 / 157
页数:8
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