Mixture of functional linear models and its application to CO\(_2\)-GDP functional data

DOI10.1016/j.csda.2015.11.008zbMath1468.62206OpenAlexW2186404036MaRDI QIDQ1659351

Xing Wu, Shaoli Wang, Weixin Yao, Mian Huang

Publication date: 15 August 2018

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2015.11.008

zbMATH Keywords

kernel regressionhypothesis testEM-type algorithmidentifiabilityfunctional principal component analysisconditional bootstrapmixtures of functional linear regressions

Mathematics Subject Classification ID

Applications of statistics to economics (62P20) Computational methods for problems pertaining to statistics (62-08) Nonparametric regression and quantile regression (62G08) Density estimation (62G07) Functional data analysis (62R10) Linear regression; mixed models (62J05)

Related Items

Finite mixture of varying coefficient model: estimation and component selection, Latent group detection in functional partially linear regression models, Functional concurrent hidden Markov model, An overview of semiparametric extensions of finite mixture models, Semiparametric mixture regression with unspecified error distributions

Uses Software

• fda (R)
• mixtools

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