Estimation and Model Selection for Nonparametric Function-on-Function Regression
From MaRDI portal
Publication:5057093
DOI10.1080/10618600.2022.2037434OpenAlexW4210247028MaRDI QIDQ5057093
Yuedong Wang, Ping Ma, Hao Dong, Zhan-Feng Wang
Publication date: 15 December 2022
Published in: Journal of Computational and Graphical Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/10618600.2022.2037434
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Functional linear regression analysis for longitudinal data
- Regression when both response and predictor are functions
- A reproducing kernel Hilbert space approach to functional linear regression
- Continuously dynamic additive models for functional data
- Optimal prediction for additive function-on-function regression
- Mixture inner product spaces and their application to functional data analysis
- Additive nonlinear functional concurrent model
- Tensor product space ANOVA models.
- Kernel regression with functional response
- Intrinsic Riemannian functional data analysis
- Smoothing spline density estimation: Theory
- Functional data analysis.
- Nonparametric functional data analysis. Theory and practice.
- Statistical inferences for functional data
- Time-Varying Additive Models for Longitudinal Data
- Inferring stochastic dynamics from functional data
- Smoothing Splines
- Linear or Nonlinear? Automatic Structure Discovery for Partially Linear Models
- Optimal Penalized Function-on-Function Regression Under a Reproducing Kernel Hilbert Space Framework
- Approximation Theorems of Mathematical Statistics
- Additive Function-on-Function Regression
- Nonlinear functional models for functional responses in reproducing kernel hilbert spaces
- Nonparametric modelling for functional data: selected survey and tracks for future
- Introduction to Functional Data Analysis
- Theoretical Foundations of Functional Data Analysis, with an Introduction to Linear Operators
- Functional Additive Models
- Functional Data Analysis for Sparse Longitudinal Data
- Methods for Scalar‐on‐Function Regression