scholarly journals A Study on the Cross-Entropy Method for Rare-Event Probability Estimation

2007 ◽  
Vol 19 (3) ◽  
pp. 381-394 ◽  
Author(s):  
Tito Homem-de-Mello
2016 ◽  
Vol 53 (3) ◽  
pp. 633-649 ◽  
Author(s):  
Z. I. Botev ◽  
A. Ridder ◽  
L. Rojas-Nandayapa

AbstractThe cross entropy is a well-known adaptive importance sampling method which requires estimating an optimal importance sampling distribution within a parametric class. In this paper we analyze an alternative version of the cross entropy, where the importance sampling distribution is selected instead within a general semiparametric class of distributions. We show that the semiparametric cross entropy method delivers efficient estimators in a wide variety of rare-event problems. We illustrate the favourable performance of the method with numerical experiments.


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