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Asymptotics of Subsampling for Generalized Linear Regression Models under Unbounded Design
The optimal subsampling is an statistical methodology for generalized linear models (GLMs) to make inference quickly about parameter estimation in massive data regression. Existing literature only considers bounded covariates. In this paper, the asymptotic normality of the subsampling M-estimator ba...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9858070/ https://www.ncbi.nlm.nih.gov/pubmed/36673225 http://dx.doi.org/10.3390/e25010084 |