JASA Aug 27, 2026

Robust Regression under Adversarial Contamination: Theory and Algorithms for the Welsch Estimator

Authors
Mohamed Ndaoud Ilyes Hammouda Abd-Krim Seghouane
Research Topics
Machine Learning Computational Statistics
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Paper Information
  • Journal:
    Journal of the American Statistical Association
  • DOI:
    10.1080/01621459.2026.2723310
  • Published:
    August 27, 2026
  • Added to Tracker:
    Aug 27, 2026
Author Details
Mohamed Ndaoud
Author
Ilyes Hammouda
Author
Abd-Krim Seghouane
Author
Research Topics & Keywords
Machine Learning
Research Area
Computational Statistics
Research Area
Citation Information
APA Format
Mohamed Ndaoud , Ilyes Hammouda & Abd-Krim Seghouane (2026) . Robust Regression under Adversarial Contamination: Theory and Algorithms for the Welsch Estimator. Journal of the American Statistical Association , 10.1080/01621459.2026.2723310.
BibTeX Format
@article{paper1567,
  title = { Robust Regression under Adversarial Contamination: Theory and Algorithms for the Welsch Estimator },
  author = { Mohamed Ndaoud and Ilyes Hammouda and Abd-Krim Seghouane },
  journal = { Journal of the American Statistical Association },
  year = { 2026 },
  doi = { 10.1080/01621459.2026.2723310 },
  url = { https://doi.org/10.1080/01621459.2026.2723310 }
}
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