Mixture inner product spaces and their application to functional data analysis

DOI10.1214/17-AOS1553zbMath1393.62029MaRDI QIDQ1747743

Zhenhua Lin, Fang Yao, Hans-Georg Müller

Publication date: 27 April 2018

Published in: The Annals of Statistics (Search for Journal in Brave)

zbMATH Keywords

probability densitybasisfunctional data analysistrajectory representationinfinite mixture

Mathematics Subject Classification ID

Factor analysis and principal components; correspondence analysis (62H25) Density estimation (62G07) Asymptotic properties of nonparametric inference (62G20)

Related Items

Nonparametric density estimation for intentionally corrupted functional data, Estimation and Model Selection for Nonparametric Function-on-Function Regression, A joint latent factor analyzer and functional subspace model for clustering multivariate functional data, Cluster non‐Gaussian functional data, Covariance estimation error of incomplete functional data under RKHS framework, Functional data clustering by projection into latent generalized hyperbolic subspaces, Analysis of multivariate non-Gaussian functional data: a semiparametric latent process approach

Uses Software

• fda (R)

Cites Work

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