Latent class model

Known as: Constrained Latent Class Analysis, Latent Class Analysis, LCM 
In statistics, a latent class model (LCM) relates a set of observed (usually discrete) multivariate variables to a set of latent variables. It is a… (More)
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Highly Cited
2011
Highly Cited
2011
poLCA is a software package for the estimation of latent class and latent class regression models for polytomous outcome… (More)
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Highly Cited
2011
Highly Cited
2011
Description: Latent Variable Models and Factor Analysis provides a comprehensive and unified approach to factor analysis and… (More)
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Highly Cited
2010
Highly Cited
2010
Users may download and print one copy of any publication from the public portal for the purpose of private study or research You… (More)
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Highly Cited
2007
Highly Cited
2007
Mixture modeling is a widely applied data analysis technique used to identify unobserved heterogeneity in a population. Despite… (More)
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Highly Cited
2006
Highly Cited
2006
The paper is aimed to investigate the performance of information criteria in selecting latent class analysis models which are… (More)
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Highly Cited
2002
Highly Cited
2002
The multinomial logit model (MNL) has for many years provided the fundamental platform for the analysis of discrete choice. The… (More)
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Highly Cited
2001
Highly Cited
2001
This paper presents a novel statistical method for factor analysis of binary and count data which is closely related to a… (More)
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Highly Cited
2001
Highly Cited
2001
We propose an alternative method of conducting exploratory latent class analysis that utilizes latent class factor models, and… (More)
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Highly Cited
1999
Highly Cited
1999
Probabilistic Latent Semantic Indexing is a novel approach to automated document indexing which is based on a statistical latent… (More)
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Highly Cited
1999
Highly Cited
1999
Probabilistic Latent Semantic Analysis is a novel statistical technique for the analysis of two-mode and co-occurrence data… (More)
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