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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...
Uloženo v:
| Vydáno v: | R Soc Open Sci |
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| Hlavní autoři: | , , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
The Royal Society Publishing
2015
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| Témata: | |
| On-line přístup: | 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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