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[working paper]

dc.contributor.authorPiatek, Rémide
dc.date.accessioned2013-11-20T17:34:00Zde
dc.date.accessioned2015-05-11T12:24:58Z
dc.date.available2015-05-11T12:24:58Z
dc.date.issued2010de
dc.identifier.urihttp://www.ssoar.info/ssoar/handle/document/42999
dc.description.abstract"The goal of this paper is to provide all the technical details required to implement Gibbs sampling for the estimation of simultaneous equation models with common latent factors among their regressors, so-called "factor structure models". Linear, dichotomous and censored response models, as well as ordered and unordered response models can be accommodated in this framework. The latent factors can be either correlated or not, and specified as normally distributed or as following a finite mixture of normal distributions for more flexibility. All conditional distributions are derived and can be used to construct the Gibbs sampler step by step." (author's abstract)en
dc.languageende
dc.subject.ddcSociology & anthropologyen
dc.subject.ddcSoziologie, Anthropologiede
dc.titleBayesian inference for factor structure models via gibbs samplingde
dc.description.reviewbegutachtetde
dc.description.reviewrevieweden
dc.source.volume3de
dc.publisher.countryDEU
dc.publisher.cityKonstanzde
dc.source.seriesCMS Discussion Paper
dc.subject.classozWirtschaftssoziologiede
dc.subject.classozSociology of Economicsen
dc.subject.thesozFaktorenanalysede
dc.subject.thesozfactor analysisen
dc.subject.thesozModellanalysede
dc.subject.thesozmodel analysisen
dc.subject.thesozSozialwissenschaftde
dc.subject.thesozsocial scienceen
dc.subject.thesozWirtschaftswissenschaftde
dc.subject.thesozeconomicsen
dc.subject.thesozstatistische Methodede
dc.subject.thesozstatistical methoden
dc.subject.thesozIndikatorde
dc.subject.thesozindicatoren
dc.subject.thesozSchätzungde
dc.subject.thesozestimationen
dc.identifier.urnurn:nbn:de:0168-ssoar-429998
dc.date.modified2014-04-15T07:53:00Zde
dc.rights.licenceDeposit Licence - Keine Weiterverbreitung, keine Bearbeitungde
dc.rights.licenceDeposit Licence - No Redistribution, No Modificationsen
ssoar.contributor.institutionUSB Kölnde
internal.statusformal und inhaltlich fertig erschlossende
internal.identifier.thesoz10035494
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dc.type.stockmonographde
dc.type.documentArbeitspapierde
dc.type.documentworking paperen
dc.rights.copyrightfde
dc.source.pageinfo26de
internal.identifier.classoz10205
internal.identifier.document3
dc.contributor.corporateeditorUniversität Konstanz, Center for Quantitative Methods and Survey Research (CMS)
internal.identifier.corporateeditor349
internal.identifier.ddc301
dc.description.pubstatusVeröffentlichungsversionde
dc.description.pubstatusPublished Versionen
internal.identifier.licence3
internal.identifier.pubstatus1
internal.identifier.review2
dc.description.misctruede
internal.identifier.series917
dc.subject.classhort10100de
internal.pdf.version1.6
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internal.pdf.wellformedtrue
internal.check.abstractlanguageharmonizerCERTAIN
internal.check.languageharmonizerCERTAIN_RETAINED


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