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http://hdl.handle.net/1942/24206
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DC Field | Value | Language |
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dc.contributor.author | VERBEKE, Geert | - |
dc.contributor.author | MOLENBERGHS, Geert | - |
dc.date.accessioned | 2017-08-11T08:57:58Z | - |
dc.date.available | 2017-08-11T08:57:58Z | - |
dc.date.issued | 2017 | - |
dc.identifier.citation | ANNUAL REVIEW OF STATISTICS AND ITS APPLICATION, VOL 4, 4, p. 267-282 | - |
dc.identifier.issn | 2326-8298 | - |
dc.identifier.uri | http://hdl.handle.net/1942/24206 | - |
dc.description.abstract | In this review, we give a general overview of latent variable models. We introduce the general model and discuss various inferential approaches. Afterward, we present several commonly applied special cases, including mixture or latent class models, as well as mixed models. We apply many of these models to a single data set with simple structure, allowing for easy comparison of the results. This allows us to discuss advantages and disadvantages of the various approaches, but also to illustrate several problems inherently linked to models incorporating latent structures. Finally, we touch on model extensions and applications and highlight several issues often ignored when applying latent variable models. | - |
dc.description.sponsorship | The authors gratefully acknowledge support from IAP research Network P7/06 of the Belgian Government (Belgian Science Policy). | - |
dc.language.iso | en | - |
dc.publisher | ANNUAL REVIEWS | - |
dc.relation.ispartofseries | Annual Review of Statistics and Its Application | - |
dc.rights | Copyright c 2017 by Annual Reviews. All rights reserved | - |
dc.subject.other | bridge distribution; conditional model; gradient function; latent class model; marginal model; marginalized model; mixed model; mixing distribution; mixture model; nonparametric maximum likelihood | - |
dc.subject.other | bridge distribution; conditional model; gradient function; latent class model; marginal model; marginalized model; mixed model; mixing distribution; mixture model; nonparametric maximum likelihood | - |
dc.title | Modeling Through Latent Variables | - |
dc.type | Journal Contribution | - |
local.bibliographicCitation.authors | Fienberg, SE | - |
local.bibliographicCitation.conferencename | ? | - |
dc.identifier.epage | 282 | - |
dc.identifier.spage | 267 | - |
dc.identifier.volume | 4 | - |
local.format.pages | 16 | - |
local.bibliographicCitation.jcat | A1 | - |
dc.description.notes | [Verbeke, Geert; Molenberghs, Geert] Katholieke Univ Leuven, Interuniv Inst Biostat & Stat Bioinformat, B-3000 Leuven, Belgium. [Verbeke, Geert; Molenberghs, Geert] Univ Hasselt, Interuniv Inst Biostat & Stat Bioinformat, B-3590 Hasselt, Belgium. | - |
local.publisher.place | PALO ALTO | - |
local.type.refereed | Refereed | - |
local.type.specified | Article | - |
dc.identifier.doi | 10.1146/annurev-statistics-060116-054017 | - |
dc.identifier.isi | 000398070800013 | - |
item.contributor | VERBEKE, Geert | - |
item.contributor | MOLENBERGHS, Geert | - |
item.accessRights | Restricted Access | - |
item.fulltext | With Fulltext | - |
item.fullcitation | VERBEKE, Geert & MOLENBERGHS, Geert (2017) Modeling Through Latent Variables. In: ANNUAL REVIEW OF STATISTICS AND ITS APPLICATION, VOL 4, 4, p. 267-282. | - |
item.validation | ecoom 2018 | - |
crisitem.journal.issn | 2326-8298 | - |
crisitem.journal.eissn | 2326-831X | - |
Appears in Collections: | Research publications |
Files in This Item:
File | Description | Size | Format | |
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verbeke2017.pdf Restricted Access | Published version | 416.68 kB | Adobe PDF | View/Open Request a copy |
annualreview03.pdf Restricted Access | Peer-reviewed author version | 216.09 kB | Adobe PDF | View/Open Request a copy |
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