Investigation of the tau-leap method for stochastic simulation

dc.contributor.advisorCox, Dennis D.en_US
dc.creatorNoyola-Martinez, Josue C.en_US
dc.date.accessioned2009-06-03T19:52:42Zen_US
dc.date.available2009-06-03T19:52:42Zen_US
dc.date.issued2008en_US
dc.description.abstractThe use of the relatively new tau-leap algorithm to model the kinematics of regulatory systems and other chemical processes inside the cell, is of great interest; however, the accuracy of the tau-leap algorithm is not known. We introduce a new method that enables us to establish the accuracy of the tau-leap method effectively. Our approach takes advantage of the fact that the stochastic simulation algorithm (SSA) and the tau-leap method can be represented as a special type of counting process, that can essentially "couple", or tie together, a single realization of the SSA process to one of the tau-leap. Because the SSA is exact we can evaluate the accuracy of the tau-leap by comparing it to the SSA. Our approach gives error estimates which are unrivaled by any method currently available. Moreover, our coupling algorithm allows us to propose an adaptive parameter selection algorithm which finds the appropriate parameter values needed to achieve a pre-determined error threshold in the tau-leap algorithm. This error-controlled adaptive parameter selection method could not have been proposed before the introduction of our coupling algorithm, and it is a novel approach to the use of the tau-leap algorithm.en_US
dc.format.extent169 p.en_US
dc.format.mimetypeapplication/pdfen_US
dc.identifier.callnoTHESIS BIOCHEM. 2010 TCHOUen_US
dc.identifier.citationNoyola-Martinez, Josue C.. "Investigation of the tau-leap method for stochastic simulation." (2008) Diss., Rice University. <a href="https://hdl.handle.net/1911/22235">https://hdl.handle.net/1911/22235</a>.en_US
dc.identifier.urihttps://hdl.handle.net/1911/22235en_US
dc.language.isoengen_US
dc.rightsCopyright is held by the author, unless otherwise indicated. Permission to reuse, publish, or reproduce the work beyond the bounds of fair use or other exemptions to copyright law must be obtained from the copyright holder.en_US
dc.subjectStatisticsen_US
dc.titleInvestigation of the tau-leap method for stochastic simulationen_US
dc.typeThesisen_US
dc.type.materialTexten_US
thesis.degree.departmentBiochemistry and Cell Biologyen_US
thesis.degree.disciplineNatural Sciencesen_US
thesis.degree.grantorRice Universityen_US
thesis.degree.levelDoctoralen_US
thesis.degree.nameDoctor of Philosophyen_US
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