Mixture of multivariate t linear mixed models for multi-outcome longitudinal data with heterogeneity

DOI10.5705/SS.202015.0292zbMath1391.62124OpenAlexW2577492620MaRDI QIDQ2977526

Wan-Lun Wang

Publication date: 18 April 2017

Published in: Statistica Sinica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.5705/ss.202015.0292

zbMATH Keywords

maximum likelihood estimationheavy-tailed distributionmixture modelingAECM algorithmalternating expectation conditional maximizationclustering multiple longitudinal profiles

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items (7)

Multivariate t semiparametric mixed-effects model for longitudinal data with multiple characteristics ⋮ Estimation in multivariate linear mixed models for longitudinal data with multiple outputs: Application to PBCseq data analysis ⋮ Finite mixture of censored linear mixed models for irregularly observed longitudinal data ⋮ Robust mixture regression modeling based on the normal mean-variance mixture distributions ⋮ Mixture of multivariate \(t\) nonlinear mixed models for multiple longitudinal data with heterogeneity and missing values ⋮ Heavy-tailed longitudinal regression models for censored data: a robust parametric approach ⋮ Model-based clustering of censored data via mixtures of factor analyzers

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