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

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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Bibliographic Details
Main Authors: Julian D. Karch, Andreas M. Brandmaier, Manuel C. Voelkle
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-03-01
Series:Frontiers in Psychology
Subjects:
longitudinal analysis
machine learning
statistical learning
Bayesian
continuous-time
prediction
Online Access:https://www.frontiersin.org/article/10.3389/fpsyg.2020.00351/full

Internet

https://www.frontiersin.org/article/10.3389/fpsyg.2020.00351/full

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