Gaussian Process Panel Modeling—Machine Learning Inspired Analysis of Longitudinal Panel Data

In this article, we extend the Bayesian nonparametric regression method Gaussian Process Regression to the analysis of longitudinal panel data. We call this new approach Gaussian Process Panel Modeling (GPPM). GPPM provides great flexibility because of the large number of models it can represent. It...

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Detalles Bibliográficos
Autores principales: Karch, Julian D., Brandmaier, Andreas M., Voelkle, Manuel C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Psychology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7096578/
https://www.ncbi.nlm.nih.gov/pubmed/32265770
http://dx.doi.org/10.3389/fpsyg.2020.00351

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7096578/
https://www.ncbi.nlm.nih.gov/pubmed/32265770
http://dx.doi.org/10.3389/fpsyg.2020.00351

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