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A modern maximum-likelihood theory for high-dimensional logistic regression
Students in statistics or data science usually learn early on that when the sample size [Formula: see text] is large relative to the number of variables [Formula: see text] , fitting a logistic model by the method of maximum likelihood produces estimates that are consistent and that there are well-k...
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| Publicado no: | Proc Natl Acad Sci U S A |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
National Academy of Sciences
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6642380/ https://ncbi.nlm.nih.gov/pubmed/31262828 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1073/pnas.1810420116 |
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