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27

WSC
2004

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Global Likelihood Optimization Via the Cross-Entropy Method, with an Application to Mixture Models

14 years 17 days ago

Global Likelihood Optimization Via the Cross-Entropy Method, with an Application to Mixture Models

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Global likelihood maximization is an important aspect of many statistical analyses. Often the likelihood function is highly multi-extremal. This presents a significant challenge to standard search procedures, which often settle too quickly into an inferior local maximum. We present a new approach based on the cross-entropy (CE) method, and illustrate its use for the analysis of mixture models.

Zdravko I. Botev, Dirk P. Kroese

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Added	31 Oct 2010
Updated	31 Oct 2010
Type	Conference
Year	2004
Where	WSC
Authors	Zdravko I. Botev, Dirk P. Kroese

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