Open AccessAn efficient method for Bayesian system identification based on Markov chain Monte Carlo simulation
Author(s) -
Jia Hua Yang
Publication year - 2019
Publication title -
international journal of lifecycle performance engineering
Language(s) - English
Resource type - Journals
eISSN - 2043-8656
pISSN - 2043-8648
DOI - 10.1504/ijlcpe.2019.099893
Subject(s) - markov chain monte carlo , computer science , markov chain , monte carlo method , bayesian probability , identification (biology) , hybrid monte carlo , parallel tempering , variable order bayesian network , monte carlo molecular modeling , statistical physics , artificial intelligence , machine learning , bayesian inference , mathematics , statistics , physics , botany , biology
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