Abstract
Perfect Gibbs sampling is a method to turn Markov Chain Monte Carlo (MCMC) samplers into exact generators for independent random vectors. We show that a perfect Gibbs sampling algorithm suggested in the literature is not always generating from the correct distribution.
Originalsprache | Englisch |
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DOIs | |
Publikationsstatus | Veröffentlicht - 1 Dez. 2006 |
Publikationsreihe
Reihe | Research Report Series / Department of Statistics and Mathematics |
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Nummer | 36 |
WU Working Paper Reihe
- Research Report Series / Department of Statistics and Mathematics