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A Regularization-Based Adaptive Test for High-Dimensional Generalized Linear Models
In spite of its urgent importance in the era of big data, testing high-dimensional parameters in generalized linear models (GLMs) in the presence of high-dimensional nuisance parameters has been largely under-studied, especially with regard to constructing powerful tests for general (and unknown) al...
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| Veröffentlicht in: | J Mach Learn Res |
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| Hauptverfasser: | , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
2020
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7425805/ https://ncbi.nlm.nih.gov/pubmed/32802002 |
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