Smooth and locally sparse estimation for multiple-output functional linear regression

DOI10.1080/00949655.2019.1680676OpenAlexW2982164332WikidataQ100433954 ScholiaQ100433954MaRDI QIDQ5107712

Kuangnan Fang, Shuangge Ma, Xiaochen Zhang, Qing-Zhao Zhang

Publication date: 28 April 2020

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7531773

zbMATH Keywords

functional data analysislocally sparsefunctional linear multivariate regression

Mathematics Subject Classification ID

Statistics (62-XX)

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Uses Software

• fda (R)
• VIMCO

Cites Work

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• A Cluster Elastic Net for Multivariate Regression
• Functional linear regression analysis for longitudinal data
• The sparse Laplacian shrinkage estimator for high-dimensional regression
• Functional linear regression that's interpretable
• Regularized multivariate regression for identifying master predictors with application to integrative genomics study of breast cancer
• Robust network-based analysis of the associations between (epi)genetic measurements
• Generalized functional linear models
• On rates of convergence in functional linear regression
• Functional data analysis.
• Functional sparsity: global versus local
• Testing Hypotheses in the Functional Linear Model
• Linear functional regression: The case of fixed design and functional response
• Jackknife Empirical Likelihood Test for Equality of Two High Dimensional Means
• Functional Data Analysis for Sparse Longitudinal Data