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An efficient interpolation technique for jump proposals in reversible-jump Markov chain Monte Carlo calculations

Selection among alternative theoretical models given an observed dataset is an important challenge in many areas of physics and astronomy. Reversible-jump Markov chain Monte Carlo (RJMCMC) is an extremely powerful technique for performing Bayesian model selection, but it suffers from a fundamental d...

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書目詳細資料
發表在:R Soc Open Sci
Main Authors: Farr, W. M., Mandel, I., Stevens, D.
格式: Artigo
語言:Inglês
出版: The Royal Society Publishing 2015
主題:
在線閱讀:https://ncbi.nlm.nih.gov/pmc/articles/PMC4632544/
https://ncbi.nlm.nih.gov/pubmed/26543580
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1098/rsos.150030
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