Sparse Functional Principal Component Analysis in High Dimensions

DOI10.5705/ss.202020.0445OpenAlexW3097335596WikidataQ114013809 ScholiaQ114013809MaRDI QIDQ5041340

No author found.

Publication date: 13 October 2022

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

Full work available at URL: https://arxiv.org/abs/2011.00959

zbMATH Keywords

basis expansionmultivariate Karhunen-Loève expansionsparsity regime

Mathematics Subject Classification ID

Statistics (62-XX)

Uses Software

• fda (R)

Cites Work

• Unnamed Item
• Unnamed Item
• Functional linear regression analysis for longitudinal data
• Inference for functional data with applications
• Sparse principal component analysis via regularized low rank matrix approximation
• Methodology and convergence rates for functional linear regression
• Model-based clustering for multivariate functional data
• Principal components for multivariate functional data
• Generalized functional linear models
• Minimax sparse principal subspace estimation in high dimensions
• Functional data analysis.
• Estimation and detection theory for multiple stochastic processes
• Partially functional linear regression in high dimensions
• Nonparametric Mixed Effects Models for Unequally Sampled Noisy Curves
• Multivariate functional principal component analysis: A normalization approach
• A Representation of Vector-Valued Random Processes
• Ideal spatial adaptation by wavelet shrinkage
• Principal component models for sparse functional data
• From Multiple Gaussian Sequences to Functional Data and Beyond: A Stein Estimation Approach
• Multivariate Functional Principal Component Analysis for Data Observed on Different (Dimensional) Domains
• Doubly functional graphical models in high dimensions
• Functional Graphical Models
• Partially Linear Functional Additive Models for Multivariate Functional Data
• On Consistency and Sparsity for Principal Components Analysis in High Dimensions
• OUP accepted manuscript
• On Properties of Functional Principal Components Analysis
• A Road to Classification in High Dimensional Space: The Regularized Optimal Affine Discriminant
• Functional Data Analysis for Sparse Longitudinal Data

This page was built for publication: Sparse Functional Principal Component Analysis in High Dimensions