A Sharper Computational Tool for Regression-Reference-Cited by-同舟云学术

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A Sharper Computational Tool for Regression

Published:2022-10-07 Issue:1 Volume:65 Page:117-126
ISSN:0040-1706
Container-title:Technometrics
language:en
Short-container-title:Technometrics

Author:

Liu Xiaoqian¹,Chi Eric C.²^ORCID,Lange Kenneth³

Affiliation:

1. Department of Statistics, North Carolina State University, Raleigh, NC

2. Department of Statistics, Rice University, Houston, TX

3. Departments of Computational Medicine, Human Genetics, and Statistics, University of California, Los Angeles, Los Angeles, CA

Funder

U.S. Public Health Service

NSF

National Institutes of Health

Publisher

Informa UK Limited

Subject

Applied Mathematics,Modeling and Simulation,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/00401706.2022.2118172

Reference35 articles.

1. Sparse least trimmed squares regression for analyzing high-dimensional large data sets

2. M-estimators for isotonic regression

3. The Isotonic Regression Problem and its Dual

4. Convex Analysis and Monotone Operator Theory in Hilbert Spaces

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1. A fast robust best subset regression;Knowledge-Based Systems;2024-01

2. L2E: Robust Structured Regression via the L2 Criterion;CRAN: Contributed Packages;2022-01-07

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