Functional additive expectile regression in the reproducing kernel Hilbert space

DOI10.1016/j.jmva.2023.105214OpenAlexW4384832315MaRDI QIDQ6051078

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Publication date: 19 September 2023

Published in: Journal of Multivariate Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jmva.2023.105214

zbMATH Keywords

upper boundconvergence ratereproducing kernel Hilbert spacefunctional additive expectile regression

Mathematics Subject Classification ID

Nonparametric estimation (62G05) Non-Markovian processes: estimation (62M09) Multivariate analysis (62Hxx)

Cites Work

• Unnamed Item
• Functional linear regression analysis for longitudinal data
• Asymmetric Least Squares Estimation and Testing
• High-dimensional generalizations of asymmetric least squares regression and their applications
• A reproducing kernel Hilbert space approach to functional linear regression
• On confidence intervals for semiparametric expectile regression
• Prediction in functional linear regression
• Goodness-of-fit tests for the functional linear model based on randomly projected empirical processes
• Oracle inequalities for sparse additive quantile regression in reproducing kernel Hilbert space
• Adaptive covariance matrix estimation through block thresholding
• Optimal prediction for high-dimensional functional quantile regression in reproducing kernel Hilbert spaces
• Sparse high-dimensional semi-nonparametric quantile regression in a reproducing kernel Hilbert space
• Sparse wavelet estimation in quantile regression with multiple functional predictors
• Nonparametric inference in generalized functional linear models
• Partially functional linear regression in high dimensions
• Optimal Prediction in an Additive Functional Model
• Generalized Cross-Validation as a Method for Choosing a Good Ridge Parameter
• Regression Quantiles
• Minimax and Adaptive Prediction for Functional Linear Regression
• Adaptive Global Testing for Functional Linear Models
• Partially Linear Additive Functional Regression
• Reproducing kernel‐based functional linear expectile regression
• Effective dimension reduction for sparse functional data
• Continuously additive models for nonlinear functional regression
• Structured Functional Additive Regression in Reproducing Kernel Hilbert Spaces

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