Bayesian model averaging in longitudinal regression models with AR(1) errors with application to a myopia data set
DOI10.1080/00949655.2014.891205zbMath1457.62017OpenAlexW2319018682MaRDI QIDQ5220817
No author found.
Publication date: 27 March 2020
Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/00949655.2014.891205
Computational methods for problems pertaining to statistics (62-08) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Linear regression; mixed models (62J05) Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Bayes regression with autoregressive errors. A Gibbs sampling approach
- Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
- Model Selection and Accounting for Model Uncertainty in Graphical Models Using Occam's Window
- Bayesian Model Averaging for Linear Regression Models
- Bayes Factors
- Bayesian Graphical Models for Discrete Data
- A New Algorithm in Bayesian Model Averaging in Regression Models
This page was built for publication: Bayesian model averaging in longitudinal regression models with AR(1) errors with application to a myopia data set