Bayesian analysis of multivariatetlinear mixed models with missing responses at random

DOI10.1080/00949655.2014.989852OpenAlexW1968644621MaRDI QIDQ5222308

Wan-Lun Wang, Tsung I. Lin

Publication date: 1 April 2020

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949655.2014.989852

zbMATH Keywords

missing datadata augmentationconditional conjugate priorsIBF samplerdamped exponential correlation

Mathematics Subject Classification ID

Linear regression; mixed models (62J05) Bayesian inference (62F15)

Related Items (10)

Multivariate t semiparametric mixed-effects model for longitudinal data with multiple characteristics ⋮ Skew-mixed effects model for multivariate longitudinal data with categorical outcomes and missingness ⋮ Nonlinear regression models based on the normal mean-variance mixture of Birnbaum-Saunders distribution ⋮ The t linear mixed model: model formulation, identifiability and estimation ⋮ Estimation in multivariate linear mixed models for longitudinal data with multiple outputs: Application to PBCseq data analysis ⋮ Multivariate linear mixed models with censored and nonignorable missing outcomes, with application to AIDS studies ⋮ On moments of folded and truncated multivariate Student-\(t\) distributions based on recurrence relations ⋮ Mixture of multivariate \(t\) nonlinear mixed models for multiple longitudinal data with heterogeneity and missing values ⋮ Bayesian segmental growth mixture Tobit models with skew distributions ⋮ Kernel estimation in semiparametric mixed effect longitudinal modeling

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