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: | , , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
Royal Society,
2016-01-13T18:48:20Z.
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| Subjects: | |
| Online Access: | Get fulltext |