On the performance of MixTVEM: a simulation study

DOI10.1080/03610918.2018.1468458OpenAlexW2908901924WikidataQ128567835 ScholiaQ128567835MaRDI QIDQ5087555

Guoliang Cai, Mingzhi Shao, Jingyun Yang

Publication date: 1 July 2022

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610918.2018.1468458

zbMATH Keywords

simulation studyintensive longitudinal datatime-varying effect modelMixTVEM

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Nonparametric estimation (62G05)

Related Items (1)

A comparison of methods for clustering longitudinal data with slowly changing trends

Uses Software

• SAS
• LCA

Cites Work

• Longitudinal data analysis using generalized linear models
• Flexible smoothing with \(B\)-splines and penalties. With comments and a rejoinder by the authors
• Estimating the Propagation Rate of a Viral Infection of Potato Plants via Mixtures of Regressions
• Finite Mixture Modeling with Mixture Outcomes Using the EM Algorithm

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