A Bayesian Monte Carlo approach for predicting the spread of infectious diseases

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dc.contributor.authorStojanović, Olivera
dc.contributor.authorLeugering, Johannes
dc.contributor.authorPipa, Gordon
dc.contributor.authorGhozzi, Stéphane
dc.contributor.authorUllrich, Alexander
dc.date.accessioned2022-04-19T14:02:11Z-
dc.date.available2022-04-19T14:02:11Z-
dc.date.issued2019
dc.identifier.urihttps://osnascholar.ub.uni-osnabrueck.de/handle/unios/51346-
dc.publisherCold Spring Harbor Laboratory
dc.relation.ispartofbioRxiv
dc.rightscc-by
dc.subjectComputer science
dc.subjectMonte Carlo method
dc.subjectPosterior probability
dc.subjectMarkov chain Monte Carlo
dc.subjectEstimation
dc.subjectApproximate Bayesian computation
dc.subjectBayesian probability
dc.subjectBayes' theorem
dc.subjectInference
dc.subjectBayesian inference
dc.subjectEconometrics
dc.subjectStatistics
dc.titleA Bayesian Monte Carlo approach for predicting the spread of infectious diseases
dc.typejournal article
dc.identifier.doihttps://doi.org/10.1101/617795
dc.description.startpage617795
dc.identifier.externalhttps://openalex.org/W2942286316
dcterms.oaStatustrue
local.import.sourcefileopenalex_uos_20220409.ris
crisitem.author.deptInstitut für Kognitionswissenschaft-
crisitem.author.deptidinstitute28-
crisitem.author.orcid0000-0002-3416-2652-
crisitem.author.parentorgFB 08 - Humanwissenschaften-
crisitem.author.grandparentorgUniversität Osnabrück-
crisitem.author.netidPiGo340-
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