The single-index support vector regression model to address the problem of high dimensionality

DOI10.1080/03610918.2017.1359290OpenAlexW2742694664MaRDI QIDQ5085061

Taha Alshaybawee, Sohel Rana, Waleed Dhhan, Habshah Midi

Publication date: 29 June 2022

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610918.2017.1359290

zbMATH Keywords

dimension reductionsparsitysingle-index modelhigh-dimensionalsupport vector regression

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Nonparametric estimation (62G05)

Uses Software

• rattle

Cites Work

• Unnamed Item
• Single-index quantile regression
• Bayesian quantile regression for single-index models
• Semiparametric and nonparametric methods in econometrics
• Semiparametric least squares (SLS) and weighted SLS estimation of single-index models
• Weighted least squares support vector machines: robustness and sparse approximation
• Nonparametric and semiparametric models.
• Support-vector networks
• Semiparametric Regression for the Applied Econometrician
• Non-sparseϵ-insensitive support vector regression for outlier detection
• A high breakdown, high efficiency and bounded influence modified GM estimator based on support vector regression
• Data Mining with Rattle and R

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