Code and Data Repository for Reproducible Feature Selection for High-Dimensional Measurement Error Models

Authors

Yang Li (ORCID: https://orcid.org/0000-0002-1202-1082)
Zemin Zheng (ORCID: https://orcid.org/0000-0002-0240-9411)
Jiarui Zhang (ORCID: https://orcid.org/0000-0001-8675-1662)
Jie Wu (ORCID: https://orcid.org/0009-0005-5542-9140)
Xin Zhou (ORCID: https://orcid.org/0009-0007-3480-9317)

Publication Details

Journal: INFORMS journal on computing
Published: 2024-11-07
DOI: https://doi.org/10.1287/ijoc.2023.0282.cd
Primary Topic: Fault Detection and Control Systems
Type: article
Field-Weighted Citation Impact: 0.00

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article

Code and Data Repository for Reproducible Feature Selection for High-Dimensional Measurement Error Models

Yang Li, Zemin Zheng, Jiarui Zhang, Jie Wu et al.

Nov 7, 2024

INFORMS journal on computing

Fault Detection and Control Systems

article

Code and Data Repository for Reproducible Feature Selection for High-Dimensional Measurement Error Models

Yang Li, Zemin Zheng, Jiarui Zhang, Jie Wu, Xin Zhou

November 7, 2024article en

Abstract

No abstract available for this paper.

INFORMS journal on computing

Gender equality

Openalex Percentile: Top 76%

Fault Detection and Control Systems

DOI Source OpenAlex

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Code and Data Repository for Reproducible Feature Selection for High-Dimensional Measurement Error Models — Yang Li, Zemin Zheng, et al. · INFORMS journal on computing (2024) | TGRS Research Map | TGRS