Envelope Model for Function-on-Function Linear Regression
From MaRDI portal
Publication:6141206
DOI10.1080/10618600.2022.2163652OpenAlexW4313493235MaRDI QIDQ6141206
No author found.
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
latticecovariance operatorKarhunen-Loeve expansionorder determinationconfidence and prediction bandsGaussian process in Hilbert space
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- 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
This page was built for publication: Envelope Model for Function-on-Function Linear Regression