Support vector regression with penalized likelihood

DOI10.1016/J.CSDA.2022.107522OpenAlexW4229364269WikidataQ114191818 ScholiaQ114191818MaRDI QIDQ2157521

Kanta Naito, Takumi Uemoto

Publication date: 22 July 2022

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2022.107522

zbMATH Keywords

robustnessconsistencyasymptotic normalitypenalized likelihoodsupport vector regression

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

• Weak convergence and empirical processes. With applications to statistics
• Support Vector Machines
• Uniform Convergence in Probability and Stochastic Equicontinuity
• Asymptotic Statistics
• Robust Inference for Generalized Linear Models
• Linear Statistical Inference and its Applications
• Robust Statistics
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