Robust variable selection of varying coefficient partially nonlinear model based on quantile regression

Jing Yang; Fang Lü; Guo‐Liang Tian; Xuewen Lu; Hu Yang

doi:10.4310/18-sii558

ScienceGate Book Chapters

JOURNAL ARTICLE

Robust variable selection of varying coefficient partially nonlinear model based on quantile regression

Jing Yang Fang Lü Guo‐Liang Tian Xuewen Lu Hu Yang

Year: 2019 Journal: Statistics and Its Interface Vol: 12 (3)Pages: 397-413 Publisher: Lehigh University

DOI: 10.4310/18-sii558

Get Full-Text PDF Get Analytical Report

Keywords:

Quantile regression Statistics Mathematics Feature selection Quantile Econometrics Selection (genetic algorithm) Nonlinear system Linear regression Computer science Artificial intelligence

Metrics

Cited By

0.00

FWCI (Field Weighted Citation Impact)

Refs

0.06

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Grey System Theory Applications

Social Sciences → Decision Sciences → Management Science and Operations Research

Regional Economic and Spatial Analysis

Social Sciences → Economics, Econometrics and Finance → Economics and Econometrics

Advanced Measurement and Detection Methods

Physical Sciences → Engineering → Electrical and Electronic Engineering

Robust variable selection of varying coefficient partially nonlinear model based on quantile regression

Metrics

Citation History

Topics

Related Documents

Robust variable selection of varying coefficient partially nonlinear model based on quantile regression

VARIABLE SELECTION FOR PARTIALLY LINEAR VARYING COEFFICIENT QUANTILE REGRESSION MODEL

Quantile regression for robust estimation and variable selection in partially linear varying-coefficient models

Quantile regression for robust inference on varying coefficient partially nonlinear models

Robust estimation and variable selection for varying-coefficient partially nonlinear models based on modal regression