Distributed Estimation for <i>ℓ</i><sub>0</sub>-Constrained Quantile Regression Using Iterative Hard Thresholding
Distributed frameworks for statistical estimation and inference have become a critical toolkit for analyzing massive data efficiently. In this paper, we present distributed estimation for high-dimensional quantile regression with <inline-formula><math xmlns="http://www.w3.org/1998/Math...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-02-01
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| Series: | Mathematics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2227-7390/13/4/669 |
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