Finite mixture modeling of censored regression models

DOI10.1007/s00362-013-0509-yzbMath1416.62215OpenAlexW2119061151WikidataQ59321378 ScholiaQ59321378MaRDI QIDQ744793

Maria Karlsson, Thomas Laitila

Publication date: 26 September 2014

Published in: Statistical Papers (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00362-013-0509-y

zbMATH Keywords

censoringEM-algorithmfinite mixture modelsTobit

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Censored data models (62N01)

Related Items (13)

Nonparametric robust regression estimation for censored data ⋮ Mixture of linear experts model for censored data: a novel approach with scale-mixture of normal distributions ⋮ Finite mixture of regression models for censored data based on scale mixtures of normal distributions ⋮ Accelerated failure time modeling via nonparametric mixtures ⋮ Finite mixture of censored linear mixed models for irregularly observed longitudinal data ⋮ Regression modeling of censored data based on compound scale mixtures of normal distributions ⋮ Flexible regression modeling for censored data based on mixtures of Student-\(t\) distributions ⋮ Finite mixture modeling of censored data using the multivariate Student-\(t\) distribution ⋮ Mixtures of multivariate contaminated normal regression models ⋮ Mixtures of factor analyzers with covariates for modeling multiply censored dependent variables ⋮ Model-based clustering of censored data via mixtures of factor analyzers ⋮ Modified maximum likelihood estimator under the Jones and Faddy's skew t-error distribution for censored regression model ⋮ Finite mixture modeling of censored and missing data using the multivariate skew-normal distribution

Uses Software

• R
• censReg
• Ecdat

Cites Work

• Unnamed Item
• Estimation of Relationships for Limited Dependent Variables
• Low dimensional semiparametric estimation in a censored regression model
• The use of mixtures for dealing with non-normal regression errors
• Second-order least squares estimation of censored regression models
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• Censored regression quantiles
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• Pairwise difference estimators of censored and truncated regression models
• Estimators of regression parameters for truncated and censored data
• Symmetrically Trimmed Least Squares Estimation for Tobit Models
• Linear regression with censored data
• Least squares regression with censored data
• Finite mixture models
• Regression Analysis when the Dependent Variable Is Truncated Normal
• Nonparametric Censored and Truncated Regression
• Maximum Likelihood Estimation of Misspecified Models
• Two-step estimation of semiparametric censored regression models

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