Gaussian Process Panel Modeling—Machine Learning Inspired Analysis of Longitudinal Panel Data
Abstract
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 allows classical statistical inference as well as machine learning inspired predictive modeling. GPPM offers frequentist and Bayesian inference...
Paper Details
Title
Gaussian Process Panel Modeling—Machine Learning Inspired Analysis of Longitudinal Panel Data
Published Date
Mar 19, 2020
Journal
Volume
11
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