Latent Ornstein‐Uhlenbeck models for Bayesian analysis of multivariate longitudinal categorical responses
From MaRDI portal
Publication:6074521
DOI10.1111/biom.13292zbMath1520.62345OpenAlexW3022730886WikidataQ94548671 ScholiaQ94548671MaRDI QIDQ6074521
Geert Verbeke, Unnamed Author, Unnamed Author, Emmanuel Lesaffre
Publication date: 12 October 2023
Published in: Biometrics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1111/biom.13292
Ornstein-Uhlenbeck processlatent variableBayesian modelingmultivariate longitudinal data analysisoscillating and nonoscillating processes
Cites Work
- Unnamed Item
- Unnamed Item
- Multidimensional item reponse theory.
- Generating random correlation matrices based on vines and extended onion method
- A Bayesian regression model for multivariate functional data
- Bayesian item response modeling. Theory and applications.
- A hierarchical Ornstein-Uhlenbeck model for continuous repeated measurement data
- The Padé method for computing the matrix exponential
- Bayesian analysis of dynamic item response models in educational testing
- Closed-form likelihood expansions for multivariate diffusions
- Bayesian inference for Markov processes with diffusion and discrete components
- Handbook of Item Response Theory
- Analysis of Radio Telemetry Data in Studies of Home Range
- A Stochastic Model for the Analysis of Bivariate Longitudinal AIDS Data
- Continuous Time Modeling in the Behavioral and Related Sciences
- Continuous time modelling with individually varying time intervals for oscillating and non‐oscillating processes
- Bayesian Biostatistics
- Handbook of stochastic methods for physics, chemistry and the natural sciences.
- Prior distributions for variance parameters in hierarchical models (Comment on article by Browne and Draper)
This page was built for publication: Latent Ornstein‐Uhlenbeck models for Bayesian analysis of multivariate longitudinal categorical responses
