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.
Original language | English |
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DOIs | |
Publication status | Published - 1 Dec 2006 |
Publication series
Series | Research Report Series / Department of Statistics and Mathematics |
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Number | 36 |
WU Working Paper Series
- Research Report Series / Department of Statistics and Mathematics