An efficient interpolation technique for jump proposals in reversible-jump Markov chain Monte Carlo calculations
نویسندگان
چکیده
منابع مشابه
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 difficulty and it requires jumps between model parameter spaces, but cannot efficiently explore bo...
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ژورنال
عنوان ژورنال: Royal Society Open Science
سال: 2015
ISSN: 2054-5703
DOI: 10.1098/rsos.150030