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

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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Xehetasun bibliografikoak
Egile Nagusiak: Farr, W. M., Stevens, D., Mandel, Ilya
Beste egile batzuk: MIT Kavli Institute for Astrophysics and Space Research
Formatua: Artikulua
Hizkuntza:en_US
Argitaratua: Royal Society 2016
Sarrera elektronikoa:http://hdl.handle.net/1721.1/100817

Internet

http://hdl.handle.net/1721.1/100817

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