A few theoretical results for Laplace and arctan penalized ordinary least squares linear regression estimators-Reference-Cited by-同舟云学术

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A few theoretical results for Laplace and arctan penalized ordinary least squares linear regression estimators

Published:2023-04-04 Issue: Volume: Page:1-22
ISSN:0361-0926
Container-title:Communications in Statistics - Theory and Methods
language:en
Short-container-title:Communications in Statistics - Theory and Methods

Author:

John Majnu¹²,Vettam Sujit³

Affiliation:

1. Departments of Mathematics and of Psychiatry, Hofstra University, Hempstead, New York, USA

2. Feinstein Institutes of Medical Research, Northwell Health System, Manhasset, New York, USA

3. The University of Chicago Booth School of Business, Chicago, Illinois, USA

Funder

National Institute of Mental Health

Publisher

Informa UK Limited

Subject

Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/03610926.2023.2195033

Reference24 articles.

1. Heuristics of instability and stabilization in model selection

2. Enhancing Sparsity by Reweighted ℓ 1 Minimization

3. Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties

4. A Statistical View of Some Chemometrics Regression Tools

5. Penalized Regressions: The Bridge versus the Lasso

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A novel nonconvex, smooth-at-origin penalty for statistical learning;Computational Statistics;2024-08-07

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