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Class Selection in Growth Mixture Models

Comparing Information Criteria to Nonparametric and Parametric Bayesian Approaches

Dados Bibliográficos

ID9744688
AutoresSarah Depaoli (0000-0002-1277-0462, University of California, autor correspondente), Meng Qiu (0009-0009-3897-7347, University of California), Haiyan Liu (0000-0002-3812-7520, University of California), Madelin Jauregui (0009-0005-1689-359X, University of California)
Ano2026
Volume33
Fascículo1
Páginas64-80
Data de publicação2026-01-02
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoStructural Equation Modeling: A Multidisciplinary Journal (JOURNAL)
Identificadores do periódicoISSN: 1070-5511 • E-ISSN: 1532-8007
EditoraInforma UK Limited (PUBLISHER • GB)
DOI10.1080/10705511.2025.2563187
OpenAlexW4415396382
IdiomaEN
Referências citadas52

Bayesian Methods and Mixture Models · Genetic and phenotypic traits in livestock · Statistical Methods and Bayesian Inference

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