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Bayesian regression explains how human participants handle parameter uncertainty

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cris.virtual.author-orcid0000-0002-1847-3389
cris.virtualsource.author-orcid97019b01-e9a8-4795-b47c-01356c488367
cris.virtualsource.author-orcid9a01355b-fcda-45ad-a3d5-95be76cb5012
datacite.rightsopen.access
dc.contributor.authorJegminat, Jannes
dc.contributor.authorJastrzębowska, Maya A.
dc.contributor.authorPachai, Matthew V.
dc.contributor.authorHerzog, Michael H.
dc.contributor.authorPfister, Jean Pascal
dc.date.accessioned2024-10-05T11:56:26Z
dc.date.available2024-10-05T11:56:26Z
dc.date.issued2020
dc.description.sponsorshipInstitut für Physiologie
dc.identifier.doi10.7892/boris.148847
dc.identifier.pmid32421708
dc.identifier.publisherDOI10.1371/journal.pcbi.1007886
dc.identifier.urihttps://boris-portal.unibe.ch/handle/20.500.12422/55716
dc.language.isoen
dc.publisherPublic Library of Science
dc.relation.ispartofPLoS computational biology
dc.relation.issn1553-734X
dc.relation.organizationInstitute of Physiology
dc.subject.ddc600 - Technology::610 - Medicine & health
dc.titleBayesian regression explains how human participants handle parameter uncertainty
dc.typearticle
dspace.entity.typePublication
dspace.file.typetext
oaire.citation.issue5
oaire.citation.startPagee1007886
oaire.citation.volume16
oairecerif.author.affiliationInstitut für Physiologie
oairecerif.author.affiliationInstitut für Physiologie
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unibe.date.licenseChanged2020-12-08 14:52:47
unibe.description.ispublishedpub
unibe.eprints.legacyId148847
unibe.journal.abbrevTitlePLOS COMPUT BIOL
unibe.refereedtrue
unibe.subtype.articlejournal

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