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...
Main Authors: | W. M. Farr, I. Mandel, D. Stevens |
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Format: | Article |
Language: | English |
Published: |
The Royal Society
2015-01-01
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Series: | Royal Society Open Science |
Subjects: | |
Online Access: | https://royalsocietypublishing.org/doi/pdf/10.1098/rsos.150030 |
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