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http://hdl.handle.net/1942/24206
Title: | Modeling Through Latent Variables | Authors: | VERBEKE, Geert MOLENBERGHS, Geert |
Issue Date: | 2017 | Publisher: | ANNUAL REVIEWS | Source: | ANNUAL REVIEW OF STATISTICS AND ITS APPLICATION, VOL 4, 4, p. 267-282 | Series/Report: | Annual Review of Statistics and Its Application | 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. | 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. | Keywords: | bridge distribution; conditional model; gradient function; latent class model; marginal model; marginalized model; mixed model; mixing distribution; mixture model; nonparametric maximum likelihood;bridge distribution; conditional model; gradient function; latent class model; marginal model; marginalized model; mixed model; mixing distribution; mixture model; nonparametric maximum likelihood | Document URI: | http://hdl.handle.net/1942/24206 | ISSN: | 2326-8298 | e-ISSN: | 2326-831X | DOI: | 10.1146/annurev-statistics-060116-054017 | ISI #: | 000398070800013 | Rights: | Copyright c 2017 by Annual Reviews. All rights reserved | Category: | A1 | Type: | Journal Contribution | Validations: | ecoom 2018 |
Appears in Collections: | Research publications |
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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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