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Stochastic simulation and parameter estimation of first order chemical reactions

  • Stony Brook University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

In this paper, we present fast stochastic simulation methods for the class of first order chemical reactions. The methods are based on the exact distributions for the number of molecules or their Gaussian approximations. Furthermore, using the adopted models, we develop parameter estimation methods for the reaction rates. Although we only discuss two basic reactions, the single channel and reversible first order reactions, the obtained results can be applied to more complex cases.

Original languageEnglish
Title of host publication2004 12th European Signal Processing Conference, EUSIPCO 2004
PublisherEuropean Signal Processing Conference, EUSIPCO
Pages1111-1114
Number of pages4
ISBN (Electronic)9783200001657
StatePublished - Apr 3 2015
Event12th European Signal Processing Conference, EUSIPCO 2004 - Vienna, Austria
Duration: Sep 6 2004Sep 10 2004

Publication series

NameEuropean Signal Processing Conference
Volume06-10-September-2004
ISSN (Print)2219-5491

Conference

Conference12th European Signal Processing Conference, EUSIPCO 2004
Country/TerritoryAustria
CityVienna
Period09/6/0409/10/04

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