Studies of the adaptive network-constrained linear regression and its application

DOI10.1016/j.csda.2015.06.008zbMath1468.62217OpenAlexW766853659MaRDI QIDQ1663145

Danhui Yi, Hu Yang

Publication date: 21 August 2018

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

Full work available at URL: https://doi.org/10.1016/j.csda.2015.06.008

zbMATH Keywords

variable selectionsadaptive network penaltyP/E ratio

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Linear regression; mixed models (62J05) Applications of statistics to actuarial sciences and financial mathematics (62P05)

Related Items

A model-free variable selection method for reducing the number of redundant variables

Uses Software

• ElemStatLearn

Cites Work

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