Resolving outbreak dynamics using approximate bayesian computation for stochastic birth-death models

dc.contributor.author	Lintusaari, Jarno
dc.contributor.author	Blomstedt, Paul
dc.contributor.author	Rose, Brittany
dc.contributor.author	Sivula, Tuomas
dc.contributor.author	Gutmann, Michael U.
dc.contributor.author	Kaski, Samuel
dc.contributor.author	Corander, Jukka
dc.date.accessioned	2023-05-08T10:06:42Z
dc.date.available	2023-05-08T10:06:42Z
dc.date.created	2020-02-11T13:00:52Z
dc.date.issued	2019
dc.identifier.issn	2398-502X
dc.identifier.uri	https://hdl.handle.net/11250/3066770
dc.language.iso	eng
dc.title	Resolving outbreak dynamics using approximate bayesian computation for stochastic birth-death models
dc.type	Peer reviewed
dc.type	Journal article
dc.description.version	publishedVersion
dc.source.volume	4
dc.source.journal	Wellcome Open Research
dc.identifier.doi	10.12688/wellcomeopenres.15048.2
dc.identifier.cristin	1793007
dc.relation.project	EC/H2020/742158
cristin.unitcode	7502,4,19,0
cristin.unitname	Avdeling for infeksjonsepidemiologi og modellering
cristin.ispublished	true
cristin.fulltext	original
cristin.qualitycode	1