Solving stochastic chemical kinetics by Metropolis-Hastings sampling
| dc.contributor.author | Mooasvi, A. | en |
| dc.contributor.author | Tranquilli, Paul | en |
| dc.contributor.author | Sandu, Adrian | en |
| dc.contributor.department | Computer Science | en |
| dc.date.accessioned | 2017-03-06T18:44:49Z | en |
| dc.date.available | 2017-03-06T18:44:49Z | en |
| dc.date.issued | 2016-05-01 | en |
| dc.description.abstract | This study considers using Metropolis-Hastings algorithm for stochastic simulation of chemical reactions. The proposed method uses SSA (Stochastic Simulation Algorithm) distribution which is a standard method for solving well-stirred chemically reacting systems as a desired distribution. A new numerical solvers based on exponential form of exact and approximate solutions of CME (Chemical Master Equation) is employed for obtaining target and proposal distributions in Metropolis-Hastings algorithm to accelerate the accuracy of the tau-leap method. Samples generated by this technique have the same distribution as SSA and the histogram of samples show it’s convergence to SSA. | en |
| dc.description.version | Published version | en |
| dc.format.extent | 322 - 335 (14) page(s) | en |
| dc.format.mimetype | application/pdf | en |
| dc.identifier.doi | https://doi.org/10.11948/2016025 | en |
| dc.identifier.issn | 2156-907X | en |
| dc.identifier.issue | 2 | en |
| dc.identifier.uri | http://hdl.handle.net/10919/75289 | en |
| dc.identifier.volume | 6 | en |
| dc.language.iso | en | en |
| dc.publisher | Wilmington Scientific Publisher, Llc | en |
| dc.relation.uri | http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000385782100005&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=930d57c9ac61a043676db62af60056c1 | en |
| dc.rights | In Copyright | en |
| dc.rights.uri | http://rightsstatements.org/vocab/InC/1.0/ | en |
| dc.subject | Mathematics, Applied | en |
| dc.subject | Mathematics | en |
| dc.subject | Metropolis-Hastings | en |
| dc.subject | SSA | en |
| dc.subject | CME | en |
| dc.subject | tau-leap | en |
| dc.subject | REACTING SYSTEMS | en |
| dc.subject | SIMULATION | en |
| dc.subject | ALGORITHMS | en |
| dc.title | Solving stochastic chemical kinetics by Metropolis-Hastings sampling | en |
| dc.title.serial | Journal of Applied Analysis And Computation | en |
| dc.type | Article - Refereed | en |
| dc.type.dcmitype | Text | en |
| pubs.organisational-group | /Virginia Tech | en |
| pubs.organisational-group | /Virginia Tech/All T&R Faculty | en |
| pubs.organisational-group | /Virginia Tech/Engineering | en |
| pubs.organisational-group | /Virginia Tech/Engineering/COE T&R Faculty | en |
| pubs.organisational-group | /Virginia Tech/Engineering/Computer Science | en |