From Data to Causes III: Bayesian Priors for General Cross-Lagged Panel Models (GCLM)

From Data to Causes III: Bayesian Priors for General Cross-Lagged Panel Models (GCLM)

This article describes some potential uses of Bayesian estimation for time-series and panel data models by incorporating information from prior probabilities (i.e., priors) in addition to observed data. Drawing on econometrics and other literatures we illustrate the use of informative “shrinkage” or...

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Bibliographic Details
Main Authors: Michael J. Zyphur, Ellen L. Hamaker, Louis Tay, Manuel Voelkle, Kristopher J. Preacher, Zhen Zhang, Paul D. Allison, Dean C. Pierides, Peter Koval, Edward F. Diener
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-02-01
Series:Frontiers in Psychology
Subjects:
panel data model
Granger causality (VAR)
Bayesian
shrinkage estimation
small-variance priors
Online Access:https://www.frontiersin.org/articles/10.3389/fpsyg.2021.612251/full

Internet

https://www.frontiersin.org/articles/10.3389/fpsyg.2021.612251/full

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