Corrected optimal subsampling for a class of generalized linear measurement error models
Subsampling techniques have been promoted in massive data and can substantially reduce the computing time. However, existing subsampling techniques do not consider the case of dirty data, especially the inaccuracy of covariates due to measurement errors, which will lead to the inconsistent estimator...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
AIMS Press
2025-02-01
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| Series: | AIMS Mathematics |
| Subjects: | |
| Online Access: | https://www.aimspress.com/article/doi/10.3934/math.2025203 |
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