Variational Bayesian functional PCA

DOI10.1016/j.csda.2008.09.015zbMath1452.62425OpenAlexW2066941875WikidataQ108929310 ScholiaQ108929310MaRDI QIDQ961145

Angelika van der Linde

Publication date: 30 March 2010

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

Full work available at URL: https://doi.org/10.1016/j.csda.2008.09.015

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Nonparametric regression and quantile regression (62G08) Factor analysis and principal components; correspondence analysis (62H25) Functional data analysis (62R10)

Related Items

Generalized multilevel function‐on‐scalar regression and principal component analysis ⋮ Modeling Motor Learning Using Heteroscedastic Functional Principal Components Analysis ⋮ Penalized spline approaches for functional logit regression ⋮ Principal components for multivariate functional data ⋮ Dimensionality reduction when data are density functions ⋮ Penalized PCA approaches for B-spline expansions of smooth functional data ⋮ A Bayesian latent variable approach to functional principal components analysis with binary and count data

Uses Software

• fda (R)
• FastICA
• PRMLT

Cites Work

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