Results 11 to 20 of about 9,854,297 (301)
Latent class models for classification [PDF]
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Jeroen K. Vermunt, Jay Magidson
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Gaussian process latent class choice models
We present a Gaussian Process - Latent Class Choice Model (GP-LCCM) to integrate a non-parametric class of probabilistic machine learning within discrete choice models (DCMs). Gaussian Processes (GPs) are kernel-based algorithms that incorporate expert knowledge by assuming priors over latent functions rather than priors over parameters, which makes ...
Sfeir, Georges; id_orcid 0000-0002-5656-3780 +2 more
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Comparison of Criteria for Choosing the Number of Classes in Bayesian Finite Mixture Models. [PDF]
Identifying the number of classes in Bayesian finite mixture models is a challenging problem. Several criteria have been proposed, such as adaptations of the deviance information criterion, marginal likelihoods, Bayes factors, and reversible jump MCMC ...
Kazem Nasserinejad +3 more
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Indicator Selection For Latent Class Models Using Constrained Model Fitting [PDF]
Whist considerable attention has been Paid to determining the number of classes in a latent class analysis less attention has directed at the optimal selection of indicator variables . Indicator selection reduces redundancy and complexity,and can provide
Brian Francis, Fuad A. A. Awwad
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Neighborhoods and adolescent polysubstance use in Jamaica [PDF]
Background The purpose of this study was to identify latent classes of polysubstance use among adolescents in Jamaica and the role of neighborhood factors in the association with polysubstance use class membership.
Amrita Gill +8 more
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Latent class models in financial data analysis
This paper deals with optimal international portfolio choice by developing a latent class approach based on the distinction between international and non-international investors.
Attilio Gardini +2 more
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Latent class recapture models with flexible behavioural response
We propose a class of models for population size estimation in capture-recapture studies, allowing for flexible behavioural and time response, observed heterogeneity and unobserved heterogeneity.
Alessio Farcomeni
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This study proposed a three-stage measurement model utilizing the Latent Growth Curve Modeling and Latent Class Growth Analysis. The measurement model was illustrated using repeated data collected through a four-week prospective study tracking the ...
Esra Sozer-Boz, Nilüfer Kahraman
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Latent class analysis variable selection [PDF]
We propose a method for selecting variables in latent class analysis, which is the most common model-based clustering method for discrete data. The method assesses a variable's usefulness for clustering by comparing two models, given the clustering ...
Nema Dean +3 more
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Bayesian Latent Class Analysis: Sample Size, Model Size, and Classification Precision
The current literature includes limited information on the classification precision of Bayes estimation for latent class analysis (BLCA). (1) Objectives: The present study compared BLCA with the robust maximum likelihood (MLR) procedure, which is the ...
Diana Mindrila
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