Bayesian segmental growth mixture Tobit models with skew distributions
type: Item
instance of: scholarly article
title: Bayesian segmental growth mixture Tobit models with skew distributions
zbMATH Open document ID: 1342.65028
author: Getachew A. Dagne
published in: Computational Statistics
publication date: 2016-08-04T00:00:00Z
Mathematics Subject Classification ID: 62-08
Mathematics Subject Classification ID: 62P10
zbMATH DE Number: 6609191
zbMATH Keywords: change point
zbMATH Keywords: detection limit
zbMATH Keywords: latent class
zbMATH Keywords: Markov chain Monte Carlo
zbMATH Keywords: mixed-effects models
describes a project that uses: WinBUGS
describes a project that uses: BayesDA
MaRDI profile type: Publication
full work available at URL: s00180-015-0620-8
OpenAlex ID: W1815133812
cites work: An Investigation of the Robustness of the Tobit Estimator to Non-Normality
cites work: On fundamental skew distributions
cites work: Statistical Applications of the Multivariate Skew Normal Distribution
cites work: Q4807438
cites work: Q4681954
cites work: Robust linear mixed models using the skew t distribution with application to schizophrenia data
cites work: Mixed Effects Models with Censored Data with Application to HIV RNA Levels
cites work: Finite mixture models
cites work: Bayesian Modeling Using WinBUGS
cites work: A new class of multivariate skew distributions with applications to bayesian regression models
cites work: Likelihood Estimation for Censored Random Vectors
cites work: Q3994826
cites work: Estimation of Relationships for Limited Dependent Variables
cites work: Bayesian analysis of multivariate t linear mixed models using a combination of IBF and Gibbs samplers
cites work: Bayesian analysis of multivariatetlinear mixed models with missing responses at random
DOI: 10.1007/S00180-015-0620-8
description: scientific article; zbMATH DE number 6609191