Bayesian inference of Stochastic reaction networks using Multifidelity Sequential Tempered Markov Chain Monte Carlo

Catanach, Thomas A.; Vo, Huy D.; Munsky, Brian

doi:10.1615/int.j.uncertaintyquantification.2020033241

Title: Bayesian inference of Stochastic reaction networks using Multifidelity Sequential Tempered Markov Chain Monte Carlo

Journal Article · Mon Jun 01 00:00:00 EDT 2020 · International Journal for Uncertainty Quantification

DOI:https://doi.org/10.1615/int.j.uncertaintyquantification.2020033241· OSTI ID:1670752

Catanach, Thomas A. ^[1]; Vo, Huy D. ^[2]; Munsky, Brian ^[2]

Sandia National Lab. (SNL-CA), Livermore, CA (United States)
Colorado State Univ., Fort Collins, CO (United States)

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Research Organization:: Sandia National Lab. (SNL-CA), Livermore, CA (United States); Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)

Sponsoring Organization:: USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR); USDOE National Nuclear Security Administration (NNSA); USDOE Laboratory Directed Research and Development (LDRD) Program

Grant/Contract Number:: AC04-94AL85000; 89233218CNA000001; NA0003525

OSTI ID:: 1670752

Alternate ID(s):: OSTI ID: 1822774

Report Number(s):: SAND2020-7898J; SAND2019-15382J; LA-UR-19-32525; 687782

Journal Information:: International Journal for Uncertainty Quantification, Vol. 10, Issue 6; ISSN 2152-5080

Publisher:: Begell HouseCopyright Statement

Country of Publication:: United States

Language:: English

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