Probabilistic modelling of population variability

dc.contributor.advisorRadde, Nicole (Prof. Dr. rer. nat.)
dc.contributor.authorWagner, Vincent
dc.date.accessioned2025-04-15T08:11:41Z
dc.date.issued2025de
dc.description.abstractVincent Wagner's dissertation summarises progress in the probabilistic modelling of population variability. It comprises two chapters with complementary approaches to this challenging and broad topic. The first chapter deals with the Method of Moments for the Chemical Master Equation, while the second chapter uses random variable transformations to estimate distributed simulation model parameters.en
dc.identifier.other1922939013
dc.identifier.urihttp://nbn-resolving.de/urn:nbn:de:bsz:93-opus-ds-162060de
dc.identifier.urihttps://elib.uni-stuttgart.de/handle/11682/16206
dc.identifier.urihttps://doi.org/10.18419/opus-16187
dc.language.isoende
dc.rightsinfo:eu-repo/semantics/openAccessde
dc.subject.ddc500de
dc.subject.ddc510de
dc.subject.ddc570de
dc.titleProbabilistic modelling of population variabilityen
dc.title.alternativeProbabilistische Modellierung von Populationsvariabilitätde
dc.typedoctoralThesisde
ubs.dateAccepted2025-01-22
ubs.fakultaetKonstruktions-, Produktions- und Fahrzeugtechnikde
ubs.fakultaetMathematik und Physikde
ubs.institutInstitut für Systemtheorie und Regelungstechnikde
ubs.institutInstitut für Stochastik und Anwendungende
ubs.publikation.seitenxvii, 178de
ubs.publikation.typDissertationde
ubs.thesis.grantorStuttgarter Zentrum für Simulationswissenschaften (SC SimTech)
ubs.thesis.grantorKonstruktions-, Produktions- und Fahrzeugtechnik
ubs.unilizenzOK

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