Replica-Exchange Monte Carlo Method Incorporating Auto-tuning Algorithm Based on Acceptance Ratios for Effective Bayesian Spectroscopy | Zendy

Kazunori Iwamitsu | Zendy; Yudai Nishi | Zendy; Taiga Yamasaki | Zendy; Mao Kamezaki | Zendy; Kyohei Higashiyama | Zendy; Sho Yakura | Zendy; Hiroyuki Kumazoe | Zendy; Shingo Aihara | Zendy; Kenji Nagata | Zendy; Masato Okada | Zendy; Ichiro Akai | Zendy

Open Access

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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