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...

وصف كامل

التفاصيل البيبلوغرافية
الحاوية / القاعدة:	Royal Society Open Science
المؤلفون الرئيسيون:	W. M. Farr, I. Mandel, D. Stevens
التنسيق:	مقال
اللغة:	الإنجليزية
منشور في:	The Royal Society 2015-01-01
الموضوعات:	markov chain monte carlo reversible-jump markov chain monte carlo data analysis
الوصول للمادة أونلاين:	https://royalsocietypublishing.org/doi/pdf/10.1098/rsos.150030

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