Results 11 to 20 of about 475,024 (262)
Bayesian Analysis, 2022 Latent Class Models (LCMs) are used to cluster multivariate categorical data (e.g. group participants based on survey responses). Traditional LCMs assume a property called conditional independence. This assumption can be restrictive, leading to model misspecification and overparameterization.
Bowers, Jesse, Culpepper, Steve
openaire +3 more sources
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
doaj +1 more source
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
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
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
doaj +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
Bayesian Latent Class Analysis: Sample Size, Model Size, and Classification Precision
Mathematics, 2023 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
doaj +1 more source
The Use of Loglinear Models for Assessing Differential Item Functioning Across Manifest and Latent Examinee Groups [PDF]
, 1990 Loglinear latent class models are used to detect differential item functioning (DIF). These models are formulated in such a manner that the attribute to be assessed may be continuous, as in a Rasch model, or categorical, as in Latent Class Mastery models.
Kelderman, Henk, Macready, George B.
core +4 more sources
Patterns of physical activity in sedentary older individuals with type 2 diabetes
Clinical Diabetes and Endocrinology, 2018 Background The Community Healthy Activities Model Program for Seniors (CHAMPS) survey, summarized into weekly caloric expenditures, is a common physical activity (PA) assessment tool among older adults.
Pearl G. Lee +4 more
doaj +1 more source
Spotlight the Negatives: A Generalized Discriminative Latent Model [PDF]
, 2015 Discriminative latent variable models (LVM) are frequently applied to various visual recognition tasks. In these systems the latent (hidden) variables provide a formalism for modeling structured variation of visual features.
Arefiyan, Mostafa +3 more
core +1 more source