Bayesian inference of Stochastic reaction networks using Multifidelity Sequential Tempered Markov Chain Monte Carlo
- Authors:
-
- Sandia National Lab. (SNL-CA), Livermore, CA (United States)
- Colorado State Univ., Fort Collins, CO (United States)
- Publication Date:
- Research Org.:
- Sandia National Lab. (SNL-CA), Livermore, CA (United States); Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR); USDOE National Nuclear Security Administration (NNSA); USDOE Laboratory Directed Research and Development (LDRD) Program
- OSTI Identifier:
- 1670752
- Alternate Identifier(s):
- OSTI ID: 1822774
- Report Number(s):
- SAND2020-7898J; SAND2019-15382J; LA-UR-19-32525
Journal ID: ISSN 2152-5080; 687782
- Grant/Contract Number:
- AC04-94AL85000; 89233218CNA000001; NA0003525
- Resource Type:
- Accepted Manuscript
- Journal Name:
- International Journal for Uncertainty Quantification
- Additional Journal Information:
- Journal Volume: 10; Journal Issue: 6; Journal ID: ISSN 2152-5080
- Publisher:
- Begell House
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 97 MATHEMATICS AND COMPUTING; Bayesian inference; stochastic modeling; systems biology; UQ; MCMC; SMC
Citation Formats
Catanach, Thomas A., Vo, Huy D., and Munsky, Brian. Bayesian inference of Stochastic reaction networks using Multifidelity Sequential Tempered Markov Chain Monte Carlo. United States: N. p., 2020.
Web. doi:10.1615/int.j.uncertaintyquantification.2020033241.
Catanach, Thomas A., Vo, Huy D., & Munsky, Brian. Bayesian inference of Stochastic reaction networks using Multifidelity Sequential Tempered Markov Chain Monte Carlo. United States. https://doi.org/10.1615/int.j.uncertaintyquantification.2020033241
Catanach, Thomas A., Vo, Huy D., and Munsky, Brian. Mon .
"Bayesian inference of Stochastic reaction networks using Multifidelity Sequential Tempered Markov Chain Monte Carlo". United States. https://doi.org/10.1615/int.j.uncertaintyquantification.2020033241. https://www.osti.gov/servlets/purl/1670752.
@article{osti_1670752,
title = {Bayesian inference of Stochastic reaction networks using Multifidelity Sequential Tempered Markov Chain Monte Carlo},
author = {Catanach, Thomas A. and Vo, Huy D. and Munsky, Brian},
abstractNote = {},
doi = {10.1615/int.j.uncertaintyquantification.2020033241},
journal = {International Journal for Uncertainty Quantification},
number = 6,
volume = 10,
place = {United States},
year = {Mon Jun 01 00:00:00 EDT 2020},
month = {Mon Jun 01 00:00:00 EDT 2020}
}
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