A robust partial least squares approach for function-on-function regression
From MaRDI portal
Publication:82006
DOI10.48550/arXiv.2111.01238zbMath1503.62039arXiv2111.01238OpenAlexW3209633008MaRDI QIDQ82006
Publication date: 1 November 2021
Published in: Brazilian Journal of Probability and Statistics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2111.01238
Nonparametric regression and quantile regression (62G08) Factor analysis and principal components; correspondence analysis (62H25) Functional data analysis (62R10) Nonparametric robustness (62G35) Linear regression; mixed models (62J05) Nonparametric statistical resampling methods (62G09)
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- 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
- Methodology and theory for partial least squares applied to functional data
- Nonparametric density estimation for functional data by delta sequences
- Functional linear regression via canonical analysis
- Recent developments in complex and spatially correlated functional data
- PLS regression on a stochastic process
- Forecasting with unequally spaced data by a functional principal component approach
- Efficiency versus robustness: The case for minimum Hellinger distance and related methods
- Applied functional data analysis. Methods and case studies
- Semiparametric quantile estimation for varying coefficient partially linear measurement errors models
- Robust functional linear regression based on splines
- A partial least squares approach for function-on-function interaction regression
- Nonparametric discrimination of areal functional data
- Robust functional regression based on principal components
- Penalized function-on-function regression
- Dynamic data analysis. Modeling data with differential equations
- Nonparametric functional data analysis. Theory and practice.
- Forecasting functional time series
- Robust statistical inference: weighted likelihoods or usual m-estimation?
- Interaction Model and Model Selection for Function-on-Function Regression
- Linear mixed function‐on‐function regression models
- Functional Principal Component Regression and Functional Partial Least Squares
- Introduction to Functional Data Analysis
- Forecasting functional time series using weighted likelihood methodology
- Theoretical Foundations of Functional Data Analysis, with an Introduction to Linear Operators
- Functional Additive Models
- On Properties of Functional Principal Components Analysis
- 8. Functional Data Analysis
- Smoothing noisy data with spline functions
- Functional Principal Component Regression and Functional Partial Least‐squares Regression: An Overview and a Comparative Study
- Detection of outliers in functional time series