Fitting mixture importance sampling distributions via improved cross-entropy

Tim J. Brereton*, Joshua C.C. Chan, Dirk P. Kroese

*Corresponding author for this work

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    5 Citations (Scopus)

    Abstract

    In some rare-event settings, exponentially twisted distributions perform very badly. One solution to this problem is to use mixture distributions. However, it is difficult to select a good mixture distribution for importance sampling. We here introduce a simple adaptive method for choosing good mixture importance sampling distributions.

    Original languageEnglish
    Title of host publicationProceedings of the 2011 Winter Simulation Conference, WSC 2011
    Pages422-428
    Number of pages7
    DOIs
    Publication statusPublished - 2011
    Event2011 Winter Simulation Conference, WSC 2011 - Phoenix, AZ, United States
    Duration: 11 Dec 201114 Dec 2011

    Publication series

    NameProceedings - Winter Simulation Conference
    ISSN (Print)0891-7736

    Conference

    Conference2011 Winter Simulation Conference, WSC 2011
    Country/TerritoryUnited States
    CityPhoenix, AZ
    Period11/12/1114/12/11

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