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Communication-efficient distributed robust variable selection for heterogeneous massive data

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  • Zou, Hang
  • Jiang, Yunlu

Abstract

We propose a communication-efficient distributed robust variable selection method using discounted exponential regression for massive data. Theoretical properties of the proposed method are demonstrated. Simulation studies and the application to flue gas emission data illustrate the effectiveness of our approach.

Suggested Citation

  • Zou, Hang & Jiang, Yunlu, 2026. "Communication-efficient distributed robust variable selection for heterogeneous massive data," Statistics & Probability Letters, Elsevier, vol. 228(C).
    • Handle: RePEc:eee:stapro:v:228:y:2026:i:c:s0167715225002020
    DOI: 10.1016/j.spl.2025.110557
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    References listed on IDEAS

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    1. Luo, Jiyu & Sun, Qiang & Zhou, Wen-Xin, 2022. "Distributed adaptive Huber regression," Computational Statistics & Data Analysis, Elsevier, vol. 169(C).
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