A non-iterative sampling Bayesian method for linear mixed models with normal independent distributions

DOI10.1080/02664763.2011.603292OpenAlexW2064202407MaRDI QIDQ5126966

Carlos A. Abanto-Valle, Victor Hugo Lachos, Celso Rômulo Barbosa Cabral

Publication date: 21 October 2020

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

Full work available at URL: https://doi.org/10.1080/02664763.2011.603292

zbMATH Keywords

linear mixed modelsnormal/independent distributionsGibbs algorithmsinverse Bayes formulaesampling/importance resampling

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (4)

On moments of truncated multivariate normal/independent distributions ⋮ A non-iterative posterior sampling algorithm for linear quantile regression model ⋮ A non-iterative Bayesian sampling algorithm for censored Student-tlinear regression models ⋮ Bayesian analysis of multivariatetlinear mixed models with missing responses at random

Uses Software

• R

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