The linear mixed model and the hierarchical Ornstein-Uhlenbeck model: Some equivalences and differences

DOI10.1348/000711010X498621zbMath1218.62129OpenAlexW1831549155WikidataQ43636769 ScholiaQ43636769MaRDI QIDQ3018640

Francis Tuerlinckx, Zita Oravecz

Publication date: 27 July 2011

Published in: British Journal of Mathematical and Statistical Psychology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1348/000711010x498621

Mathematics Subject Classification ID

Linear regression; mixed models (62J05) Applications of Brownian motions and diffusion theory (population genetics, absorption problems, etc.) (60J70) Applications of statistics to psychology (62P15)

Related Items (4)

Time to intervene: a continuous-time approach to network analysis and centrality ⋮ Bayesian prediction of crack growth based on a hierarchical diffusion model ⋮ The linear mixed model and the hierarchical Ornstein-Uhlenbeck model: Some equivalences and differences ⋮ Piecewise transition models with random effects for unequally spaced longitudinal measurements

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Random-Effects Models for Longitudinal Data
• A hierarchical Ornstein-Uhlenbeck model for continuous repeated measurement data
• Relationships between linear systems theory and covariance structure modeling
• An exploratory data analysis (EDA) of the paths of moving animals.
• Bayesian inference for Markov processes with diffusion and discrete components
• The linear mixed model and the hierarchical Ornstein-Uhlenbeck model: Some equivalences and differences
• A Bayesian Approach for Nonlinear Regression Models with Continuous Errors
• Informative Drop-Out in Longitudinal Data Analysis
• Linear mixed models for longitudinal data

This page was built for publication: The linear mixed model and the hierarchical Ornstein-Uhlenbeck model: Some equivalences and differences