Improved Perfect Slice Sampling

Wolfgang Hörmann, Josef Leydold

    Publikation: Working/Discussion PaperWU Working Paper

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    Perfect slice sampling is a method to turn Markov Chain Monte Carlo (MCMC) samplers into exact generators for independent random variates. The originally proposed method is rather slow and thus several improvements have been suggested. However, two of them are erroneous. In this article we give a short introduction to perfect slice sampling, point out incorrect methods, and give a new improved version of the original algorithm. (author's abstract)
    HerausgeberDepartment of Statistics and Mathematics, Abt. f. Angewandte Statistik u. Datenverarbeitung, WU Vienna University of Economics and Business
    PublikationsstatusVeröffentlicht - 2003


    ReihePreprint Series / Department of Applied Statistics and Data Processing

    WU Working Paper Reihe

    • Preprint Series / Department of Applied Statistics and Data Processing