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Marginalized maximum a posteriori estimation for the four‐parameter logistic model under a mixture modelling framework

dc.contributor.authorMeng, Xiangbin
dc.contributor.authorXu, Gongjun
dc.contributor.authorZhang, Jiwei
dc.contributor.authorTao, Jian
dc.date.accessioned2020-12-02T14:41:57Z
dc.date.availableWITHHELD_12_MONTHS
dc.date.available2020-12-02T14:41:57Z
dc.date.issued2020-11
dc.identifier.citationMeng, Xiangbin; Xu, Gongjun; Zhang, Jiwei; Tao, Jian (2020). "Marginalized maximum a posteriori estimation for the four‐parameter logistic model under a mixture modelling framework." British Journal of Mathematical and Statistical Psychology : 51-82.
dc.identifier.issn0007-1102
dc.identifier.issn2044-8317
dc.identifier.urihttps://hdl.handle.net/2027.42/163643
dc.publisherWiley Periodicals, Inc.
dc.publisherAkadémiai Kiadó
dc.subject.othermarginalized maximum a posteriori estimation
dc.subject.otherexpectation–maximization algorithm
dc.subject.otherfour‐parameter logistic model
dc.subject.othermixture model
dc.titleMarginalized maximum a posteriori estimation for the four‐parameter logistic model under a mixture modelling framework
dc.typeArticle
dc.rights.robotsIndexNoFollow
dc.subject.hlbsecondlevelPsychology
dc.subject.hlbtoplevelSocial Sciences
dc.description.peerreviewedPeer Reviewed
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/163643/2/bmsp12185.pdfen_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/163643/1/bmsp12185_am.pdfen_US
dc.identifier.doi10.1111/bmsp.12185
dc.identifier.sourceBritish Journal of Mathematical and Statistical Psychology
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dc.owningcollnameInterdisciplinary and Peer-Reviewed


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