Functional additive expectile regression in the reproducing kernel Hilbert space

Yuzi Liu; Ling Peng; Qing Liu; Heng Lian; Xiaohui Liu

doi:10.1016/j.jmva.2023.105214

ScienceGate Book Chapters

JOURNAL ARTICLE

Functional additive expectile regression in the reproducing kernel Hilbert space

Yuzi Liu Ling Peng Qing Liu Heng Lian Xiaohui Liu

Year: 2023 Journal: Journal of Multivariate Analysis Vol: 198 Pages: 105214-105214 Publisher: Elsevier BV

DOI: 10.1016/j.jmva.2023.105214

Get Full-Text PDF Get Analytical Report

Keywords:

Mathematics Reproducing kernel Hilbert space Estimator Additive model Heteroscedasticity Hilbert space Applied mathematics Regression Kernel (algebra) Statistics Regression analysis Mathematical analysis Pure mathematics

Metrics

Cited By

0.64

FWCI (Field Weighted Citation Impact)

Refs

0.63

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Statistical Methods and Inference

Physical Sciences → Mathematics → Statistics and Probability

Control Systems and Identification

Physical Sciences → Engineering → Control and Systems Engineering

Statistical Methods and Bayesian Inference

Physical Sciences → Mathematics → Statistics and Probability

Functional additive expectile regression in the reproducing kernel Hilbert space

Metrics

Citation History

Topics

Related Documents

Flexible Expectile Regression in Reproducing Kernel Hilbert Spaces

Flexible Expectile Regression in Reproducing Kernel Hilbert Spaces

Reproducing kernel‐based functional linear expectile regression

Structured Functional Additive Regression in Reproducing Kernel Hilbert Spaces

A reproducing kernel Hilbert space approach to functional linear regression