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...

Full description

Bibliographic Details
Main Authors: Farr, W. M., Stevens, D., Mandel, Ilya
Other Authors: MIT Kavli Institute for Astrophysics and Space Research
Format: Article
Language:en_US
Published: Royal Society 2016
Online Access:http://hdl.handle.net/1721.1/100817

Internet

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

Similar Items