Combining formal methods and Bayesian approach for inferring discrete-state stochastic models from steady-state data

dc.contributor.authorKlein, Julia
dc.contributor.authorPhung, Huy
dc.contributor.authorHajnal, Matej
dc.contributor.authorSafranek, David
dc.contributor.authorPetrov, Tatjana
dc.date.accessioned2025-04-23T12:58:19Z
dc.date.available2025-04-23T12:58:19Z
dc.date.created2023-05-05T15:01:29Z
dc.date.issued2023
dc.description.abstractModel, data, and a script to a paper of respective name
dc.description.versionpublisheddeu
dc.identifier.doi10.5281/zenodo.7900257
dc.identifier.urihttps://kops.uni-konstanz.de/handle/123456789/73103
dc.language.isoeng
dc.rightsCreative Commons Attribution 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/legalcode
dc.subject.ddc004
dc.titleCombining formal methods and Bayesian approach for inferring discrete-state stochastic models from steady-state dataeng
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kops.citation.iso690KLEIN, Julia, Huy PHUNG, Matej HAJNAL, David SAFRANEK, Tatjana PETROV, 2023. Combining formal methods and Bayesian approach for inferring discrete-state stochastic models from steady-state datadeu
kops.citation.iso690KLEIN, Julia, Huy PHUNG, Matej HAJNAL, David SAFRANEK, Tatjana PETROV, 2023. Combining formal methods and Bayesian approach for inferring discrete-state stochastic models from steady-state dataeng
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