On the Validity of the Girsanov Transformation Method for Sensitivity Analysis of Stochastic Chemical Reaction Networks

dc.contributor.authorWang, Ting
dc.contributor.authorRathinam, Muruhan
dc.date.accessioned2018-09-13T19:51:41Z
dc.date.available2018-09-13T19:51:41Z
dc.description.abstractWe investigate the validity of the Girsanov Transformation (GT) method for parametric sensitivity analysis of stochastic models of chemical reaction networks. The validity depends on the likelihood ratio process being a martingale and the commutation of a certain derivative with expectation. We derive some exponential integrability conditions which imply both these requirements. We provide further conditions in terms of a reaction network that imply these exponential integrability conditions.en
dc.description.urihttps://arxiv.org/abs/1807.09935en
dc.format.extent13 pagesen
dc.genrejournal articles preprintsen
dc.identifierdoi:10.13016/M2707WS11
dc.identifier.urihttp://hdl.handle.net/11603/11298
dc.language.isoenen
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Mathematics Department Collection
dc.relation.ispartofUMBC Faculty Collection
dc.rightsThis item may be protected under Title 17 of the U.S. Copyright Law. It is made available by UMBC for non-commercial research and education. For permission to publish or reproduce, please contact the author.
dc.subjectGirsanov transformationen
dc.subjectsensitivity analysisen
dc.subjectchemical reaction networksen
dc.subjectexponential integrabilityen
dc.titleOn the Validity of the Girsanov Transformation Method for Sensitivity Analysis of Stochastic Chemical Reaction Networksen
dc.typeTexten

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