Finite mixture modeling of censored data using the multivariate Student-\(t\) distribution

DOI10.1016/j.jmva.2017.05.005zbMath1397.62221OpenAlexW2620014403WikidataQ60631457 ScholiaQ60631457MaRDI QIDQ2011524

Edgar J. López Moreno, Celso Rômulo Barbosa Cabral, Kun Chen, Victor Hugo Lachos

Publication date: 3 August 2017

Published in: Journal of Multivariate Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jmva.2017.05.005

zbMATH Keywords

detection limitcensored datafinite mixture modelsEM-type algorithmsmultivariate Student-\(t\)

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Point estimation (62F10) Censored data models (62N01)

Related Items (15)

Robust clustering of multiply censored data via mixtures of \(t\) factor analyzers ⋮ Mixture of linear experts model for censored data: a novel approach with scale-mixture of normal distributions ⋮ On Moments of Folded and Doubly Truncated Multivariate Extended Skew-Normal Distributions ⋮ Finite mixture of regression models for censored data based on scale mixtures of normal distributions ⋮ A novel mixture model using the multivariate normal mean-variance mixture of Birnbaum-Saunders distributions and its application to extrasolar planets ⋮ Multivariate Contaminated Normal Censored Regression Model: Properties and Maximum Likelihood Inference ⋮ On moments of folded and truncated multivariate Student-\(t\) distributions based on recurrence relations ⋮ Mixtures of restricted skew-\(t\) factor analyzers with common factor loadings ⋮ Finite mixtures of multivariate scale-shape mixtures of skew-normal distributions ⋮ CensMixReg ⋮ An overview on the progeny of the skew-normal family -- a personal perspective ⋮ Valid properties of truncated Student-\(t\) regression model with applications in analysis of censored data ⋮ Moments of the doubly truncated selection elliptical distributions with emphasis on the unified multivariate skew-\(t\) distribution ⋮ Model-based clustering of censored data via mixtures of factor analyzers ⋮ Finite mixture modeling of censored and missing data using the multivariate skew-normal distribution

Uses Software

• R
• mvtnorm
• mixsmsn
• tlmec
• lmec

Cites Work

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