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Replica-Exchange Monte Carlo Method Incorporating Auto-tuning Algorithm Based on Acceptance Ratios for Effective Bayesian Spectroscopy
Author(s) -
Kazunori Iwamitsu,
Yudai Nishi,
Taiga Yamasaki,
Mao Kamezaki,
Kyohei Higashiyama,
Sho Yakura,
Hiroyuki Kumazoe,
Shingo Aihara,
Kenji Nagata,
Masato Okada,
Ichiro Akai
Publication year - 2021
Publication title -
journal of the physical society of japan
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.76
H-Index - 139
eISSN - 1347-4073
pISSN - 0031-9015
DOI - 10.7566/jpsj.90.104004
Subject(s) - monte carlo method , algorithm , bayesian probability , maximum a posteriori estimation , replica , gaussian , robustness (evolution) , computer science , bayes' theorem , markov chain monte carlo , spectroscopy , statistical physics , mathematics , physics , statistics , artificial intelligence , chemistry , maximum likelihood , art , biochemistry , quantum mechanics , visual arts , gene

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