Analytic and bootstrap-after-cross-validation methods for selecting penalty parameters of high-dimensional M-estimators | Zendy

AI Assistant Blog Pricing

Open Access

Analytic and bootstrap-after-cross-validation methods for selecting penalty parameters of high-dimensional M-estimators

Author(s) -

Denis Chetverikov,

Jesper R.-V. Sørensen

Publication year - 2022

Language(s) - English

Resource type - Reports

DOI - 10.47004/wp.cem.2022.0322

Subject(s) - estimator , cross validation , statistics , computer science , mathematics

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Empowering knowledge with every search

About

About Careers Publisher Partners Contact Us

Learn

FAQs Blog Terms of Use Privacy Policy

Discover

Explore

Copyright Knowledge E © 2025. All Rights Reserved.