Adaptive Functional Thresholding for Sparse Covariance Function Estimation in High Dimensions
type: Item
instance of: scholarly article
title: Adaptive Functional Thresholding for Sparse Covariance Function Estimation in High Dimensions
DOI: 10.1080/01621459.2023.2200522
author: Qin Fang
author: Shao-Jun Guo
author: Xinghao Qiao
published in: Journal of the American Statistical Association
publication date: 2024-07-05T00:00:00Z
Mathematics Subject Classification ID: 62-XX
zbMATH DE Number: 7877175
MaRDI profile type: Publication
cites work: Robust estimation of high-dimensional covariance and precision matrices
cites work: Covariance regularization by thresholding
cites work: Adaptive Thresholding for Sparse Covariance Matrix Estimation
cites work: Multivariate functional linear regression and prediction
cites work: Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
cites work: Multivariate Functional Principal Component Analysis for Data Observed on Different (Dimensional) Domains
cites work: Partially functional linear regression in high dimensions
cites work: Introduction to empirical processes and semiparametric inference
cites work: Conditional Functional Graphical Models
cites work: A Nonparametric Graphical Model for Functional Data With Application to Brain Networks Based on fMRI
cites work: A Wavelet-Based Independence Test for Functional Data With an Application to MEG Functional Connectivity
cites work: Sparse functional linear discriminant analysis
cites work: Functional Graphical Models
cites work: Doubly functional graphical models in high dimensions
cites work: Generalized Thresholding of Large Covariance Matrices
cites work: Minimax sparse principal subspace estimation in high dimensions
cites work: Nonparametric estimation of large covariance matrices with conditional sparsity
cites work: Functional Data Analysis for Sparse Longitudinal Data
cites work: Model Selection and Estimation in Regression with Grouped Variables
cites work: Partial separability and functional graphical models for multivariate Gaussian processes
cites work: Statistical inferences for functional data
cites work: From sparse to dense functional data and beyond
cites work: The Adaptive Lasso and Its Oracle Properties
description: scientific article; zbMATH DE number 7877175