A Simple Method for Comparing Complex Models: Bayesian Model Comparison for Hierarchical Multinomial Processing Tree Models Using Warp-III Bridge Sampling

Multinomial processing trees (MPTs) are a popular class of cognitive models for categorical data. Typically, researchers compare several MPTs, each equipped with many parameters, especially when the models are implemented in a hierarchical framework. A Bayesian solution is to compute posterior model...

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Detalles Bibliográficos
Autores principales: Gronau, Quentin F., Wagenmakers, Eric-Jan, Heck, Daniel W., Matzke, Dora
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6684497/
https://www.ncbi.nlm.nih.gov/pubmed/30483923
http://dx.doi.org/10.1007/s11336-018-9648-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6684497/
https://www.ncbi.nlm.nih.gov/pubmed/30483923
http://dx.doi.org/10.1007/s11336-018-9648-3

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