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Direction-sweep Markov chains

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Publication:5049692
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DOI10.1088/1751-8121/ac508azbMath1505.82066arXiv2007.15615OpenAlexW4210270034MaRDI QIDQ5049692

Philipp Höllmer, Liang Qin, Werner Krauth

Publication date: 11 November 2022

Published in: Journal of Physics A: Mathematical and Theoretical (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2007.15615


zbMATH Keywords

stochastic processesLangevin equationMonte Carlo methodsnon-reversible Markov chains


Mathematics Subject Classification ID

Computational methods in Markov chains (60J22) Monte Carlo methods applied to problems in statistical mechanics (82M31)




Cites Work

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  • Irreversible Monte Carlo algorithms for efficient sampling
  • The mathematics of mixing things up
  • The Fokker-Planck equation. Methods of solution and applications.
  • Piecewise deterministic Markov processes for scalable Monte Carlo on restricted domains
  • Analysis of a nonreversible Markov chain sampler.
  • A piecewise deterministic scaling limit of lifted Metropolis-Hastings in the Curie-Weiss model
  • Non-reversible Monte Carlo simulations of spin models
  • Probability Theory
  • Forward Event-Chain Monte Carlo: Fast Sampling by Randomness Control in Irreversible Markov Chains
  • Equation of State Calculations by Fast Computing Machines


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