Improving the acceptance rate of reversible jump MCMC proposals
Recent articles have commented on the difficulty of proposing efficient reversible jump moves within MCMC. We suggest a new way to make proposals more acceptable using a secondary Markov chain to modify proposed moves--at little extra programming cost.
Year of publication: |
2004
|
---|---|
Authors: | Al-Awadhi, Fahimah ; Hurn, Merrilee ; Jennison, Christopher |
Published in: |
Statistics & Probability Letters. - Elsevier, ISSN 0167-7152. - Vol. 69.2004, 2, p. 189-198
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Publisher: |
Elsevier |
Keywords: | Image analysis Markov chain Monte Carlo Object recognition Reversible jump MCMC Stochastic simulation Tempering |
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