Results 11 to 20 of about 17,167,783 (309)
Gaussian process latent class choice models
Transportation Research Part C: Emerging Technologies, 2022 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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Indicator Selection For Latent Class Models Using Constrained Model Fitting [PDF]
The Egyptian Statistical Journal, 2019 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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The Q-Matrix Anchored Mixture Rasch Model
Frontiers in Psychology, 2021 Mixture item response theory (IRT) models include a mixture of latent subpopulations such that there are qualitative differences between subgroups but within each subpopulation the measure model based on a continuous latent variable holds.
Ming-Chi Tseng, Wen-Chung Wang
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, 2022 Class proportions and class-specific probabilities from a four-latent-class model of chronic conditions.
Katherine Keenan (543406) +4 more
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Frontiers in Psychology, 2020 The main aim of the present study was to investigate the presence of Differential Item Functioning (DIF) using a latent class (LC) analysis approach. Particularly, we examined potential sources of DIF in relation to gender.
Ioannis Tsaousis +3 more
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Ridesourcing mode choice: A latent class choice model for UberX in Chile
Transportation Research Interdisciplinary Perspectives, 2022 As shared mobility expands, ridesourcing has become its most popular manifestation. However, users’ mode choice has not yet been sufficiently explored. Thus, this study aims to model ridesourcing mode choice across different latent classes to ascertain ...
Gustavo García-Melero +3 more
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Latent class analysis variable selection [PDF]
, 2009 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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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
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The Latent Class Model as a Measurement Model for Situational Judgment Tests
Psychologica Belgica, 2011 In a situational judgment test, it is often debatable what constitutes a correct answer to a situation. There is currently a multitude of scoring procedures. Establishing a measurement model can guide the selection of a scoring rule.
Frank Rijmen
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Effects of switching between production systems in dairy farming
Bio-based and Applied Economics, 2015 The increasing intensification of dairy farming in Europe has sparked an interest in studying the economic consequences of this process. However, empirically classifying farms as extensive or intensive is not a straightforward task.
Antonio Alvarez, Carlos Arias
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