Bayesian estimation of random effects models for multivariate responses of mixed data

DOI10.1016/j.csda.2009.12.007zbMath1464.62176OpenAlexW1992283888MaRDI QIDQ962377

Helga Wagner, Regina Tüchler

Publication date: 6 April 2010

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2009.12.007

zbMATH Keywords

variable selectiongeneralized linear modelsMCMCrandom effects modelauxiliary mixture sampling

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Bayesian inference (62F15) Generalized linear models (logistic models) (62J12)

Related Items (3)

Selection of Latent Variables for Multiple Mixed-outcome Models ⋮ Bayesian model selection for logistic regression models with random intercept ⋮ A Bayesian approach to model-based clustering for binary panel probit models

Cites Work

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• Auxiliary mixture sampling with applications to logistic models
• Auxiliary mixture sampling for parameter-driven models of time series of counts with applications to state space modelling
• Response models for mixed binary and quantitative variables
• Fast EM-type Implementations for Mixed Effects Models
• A Correlated Probit Model for Joint Modeling of Clustered Binary and Continuous Responses
• Parsimonious Covariance Matrix Estimation for Longitudinal Data
• Likelihood Models for Clustered Binary and Continuous Out comes: Application to Developmental Toxicology
• Regression Models for a Bivariate Discrete and Continuous Outcome with Clustering

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