Local Linear Regression and the problem of dimensionality: a remedial strategy via a new locally adaptive bandwidths selector

DOI10.1080/02664763.2022.2026895OpenAlexW4210458021MaRDI QIDQ6107657

Unnamed Author, Unnamed Author, Julian Ibezimako Mbegbu

Publication date: 3 July 2023

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02664763.2022.2026895

zbMATH Keywords

desirability functionresponse surface methodologylocal linear regression modellocally adaptive bandwidths selectorSPOCU activation function

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

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• Model robust regression: combining parametric, nonparametric, and semiparametric methods
• Adaptively weighted kernel regression
• A Review and Comparison of Bandwidth Selection Methods for Kernel Regression
• Robust optimization for multiple responses using response surface methodology

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