Hierarchical Bayesian modeling of random and residual variance-covariance matrices in bivariate mixed effects models
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Publication:2786173
DOI10.1002/bimj.200900182zbMath1207.62058OpenAlexW1975775791WikidataQ51690038 ScholiaQ51690038MaRDI QIDQ2786173
Nora M. Bello, Robert J. Tempelman, Juan P. Steibel
Publication date: 21 September 2010
Published in: Biometrical Journal (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1002/bimj.200900182
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Uses Software
Cites Work
- Hierarchical generalised linear models: A synthesis of generalised linear models, random-effect models and structured dispersions
- That BLUP is a good thing: The estimation of random effects. With comments and a rejoinder by the author
- Bayesian functional ANOVA modeling using Gaussian process prior distributions
- Dynamic Conditionally Linear Mixed Models for Longitudinal Data
- Random Effects Selection in Linear Mixed Models
- Sampling-Based Approaches to Calculating Marginal Densities
- Cholesky Decompositions and Estimation of A Covariance Matrix: Orthogonality of Variance Correlation Parameters
- Analysis of Messy Data Volume 1
- A modular system of algorithms for unconstrained minimization
- Bayesian analysis of covariance matrices and dynamic models for longitudinal data
- Identifiability, Improper Priors, and Gibbs Sampling for Generalized Linear Models
- Bayesian Measures of Model Complexity and Fit
- Joint mean-covariance models with applications to longitudinal data: unconstrained parameterisation
- Fixed and Random Effects Selection in Linear and Logistic Models
- Double Hierarchical Generalized Linear Models (With Discussion)
- Prior distributions for variance parameters in hierarchical models (Comment on article by Browne and Draper)
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