Envelope Model for Function-on-Function Linear Regression

DOI10.1080/10618600.2022.2163652OpenAlexW4313493235MaRDI QIDQ6141206

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Publication date: 22 January 2024

Published in: Journal of Computational and Graphical Statistics (Search for Journal in Brave)

Full work available at URL: https://figshare.com/articles/journal_contribution/Envelope_model_for_function-on-function_linear_regression/21817922

zbMATH Keywords

latticecovariance operatorKarhunen-Loeve expansionorder determinationconfidence and prediction bandsGaussian process in Hilbert space

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

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• Identifiability in penalized function-on-function regression models
• Regression when both response and predictor are functions
• Methodology and theory for partial least squares applied to functional data
• Rank estimation in reduced-rank regression
• Applied functional data analysis. Methods and case studies
• Functional envelope for model-free sufficient dimension reduction
• Penalized function-on-function regression
• Smoothing Splines
• Optimal Penalized Function-on-Function Regression Under a Reproducing Kernel Hilbert Space Framework
• An Introduction to Envelopes
• Matrix Variate Regressions and Envelope Models
• Envelopes and Partial Least Squares Regression
• New Parsimonious Multivariate Spatial Model: Spatial Envelope
• Foundations for Envelope Models and Methods
• Copula Gaussian Graphical Models for Functional Data

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