A comparison of parameter estimation in function-on-function regression
From MaRDI portal
Publication:5867486
DOI10.1080/03610918.2020.1746340OpenAlexW3015635806MaRDI QIDQ5867486
Publication date: 14 September 2022
Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2003.06067
functional databootstrappingnonparametric smoothingbasis function selectionroughness penalty selection
Related Items
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Functional linear regression analysis for longitudinal data
- Multivariate functional linear regression and prediction
- A partial overview of the theory of statistics with functional data
- Inference for functional data with applications
- Functional linear regression via canonical analysis
- Single and multiple index functional regression models with nonparametric link
- Estimation in functional regression for general exponential families
- Nonlinear regression modeling via regularized radial basis function networks
- Additive prediction and boosting for functional data
- Methodology and convergence rates for functional linear regression
- Penalized solutions to functional regression problems
- Smoothing noisy data with spline functions: Estimating the correct degree of smoothing by the method of generalized cross-validation
- Statistical estimation in varying coefficient models
- Applied functional data analysis. Methods and case studies
- Functional linear model
- Penalized function-on-function regression
- Functional single index models for longitudinal data
- Information criteria and statistical modeling.
- Functional data analysis.
- Nonparametric functional data analysis. Theory and practice.
- Generalized varying coefficient models for longitudinal data
- Wavelet-based functional linear mixed models: an application to measurement error-corrected distributed lag models
- Profile-kernel versus backfitting in the partially linear models for longitudinal/clustered data
- Forecasting Pollen Concentration by a Two-Step Functional Model
- Functional Principal Component Regression and Functional Partial Least Squares
- Modified AIC and Cp in multivariate linear regression
- Generalized Linear Models with Functional Predictors
- Some equivalence relationships of regularized regressions
- Bayesian information criteria and smoothing parameter selection in radial basis function networks
- Covariate Adjusted Correlation Analysis via Varying Coefficient Models
- 8. Functional Data Analysis