Flexible linear mixed models with improper priors for longitudinal and survival data

DOI10.1214/18-EJS1401zbMath1473.62094arXiv1609.05684MaRDI QIDQ1746532

Mark F. J. Steel, Francisco J. Rubio

Publication date: 25 April 2018

Published in: Electronic Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1609.05684

zbMATH Keywords

heavy tailsskewnessBayesian inferenceposterior proprietystochastic frontier modelsMEAFT models

Mathematics Subject Classification ID

Linear regression; mixed models (62J05) Censored data models (62N01) Bayesian inference (62F15)

Related Items

Shrinkage estimation of fixed and random effects in linear quantile mixed models, Posterior impropriety of some sparse Bayesian learning models, On a class of objective priors from scoring rules (with discussion), Bayesian Multivariate Distributional Regression With Skewed Responses and Skewed Random Effects, On distance-type Gaussian estimation

Uses Software

• spBayes
• lmec
• bayesSurv

Cites Work

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