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Comparison of Criteria for Choosing the Number of Classes in Bayesian Finite Mixture Models. [PDF]
PLoS ONE, 2017 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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Neighborhoods and adolescent polysubstance use in Jamaica [PDF]
PeerJ, 2023 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
doaj +2 more sources
lclogit2: An enhanced command to fit latent class conditional logit models
The Stata Journal, 2020 In this article, I describe the lclogit2 command, an enhanced version of lclogit (Pacifico and Yoo, 2013, Stata Journal 13: 625–639). Like its predecessor, lclogit2 uses the expectation-maximization algorithm to fit latent class conditional logit (LCL ...
H. I. Yoo
semanticscholar +1 more source
Latent Class-Conditional Noise Model
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 Learning with noisy labels has become imperative in the Big Data era, which saves expensive human labors on accurate annotations. Previous noise-transition-based methods have achieved theoretically-grounded performance under the Class-Conditional Noise model (CCN).
Jiangchao Yao +4 more
openaire +3 more sources
Conditional Image-to-Video Generation with Latent Flow Diffusion Models [PDF]
Computer Vision and Pattern Recognition, 2023 Conditional image-to-video (cI2V) generation aims to synthesize a new plausible video starting from an image (e.g., a person's face) and a condition (e.g., an action class label like smile).
Haomiao Ni +4 more
semanticscholar +1 more source
Partial identifiability of restricted latent class models [PDF]
, 2018 Latent class models have wide applications in social and biological sciences. In many applications, pre-specified restrictions are imposed on the parameter space of latent class models, through a design matrix, to reflect practitioners' diagnostic ...
Yuqi Gu, Gongjun Xu
semanticscholar +1 more source
Recommended Practices in Latent Class Analysis Using the Open-Source R-Package tidySEM
Structural Equation Modeling: A Multidisciplinary Journal, 2023 Latent class analysis (LCA) refers to techniques for identifying groups in data based on a parametric model. Examples include mixture models, LCA with ordinal indicators, and latent class growth analysis. Despite its popularity, there is limited guidance
C. V. van Lissa +2 more
semanticscholar +1 more source
International Journal of Contemporary Educational Research, 2023 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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Identifiability of restricted latent class models with binary responses [PDF]
, 2016 Statistical latent class models are widely used in social and psychological researches, yet it is often difficult to establish the identifiability of the model parameters.
Gongjun Xu
semanticscholar +1 more source
Latent class models in financial data analysis
Statistica, 2007 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
doaj +1 more source