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Markov Boundary Discovery with Ridge Regularized Linear Models
Ridge regularized linear models (RRLMs), such as ridge regression and the SVM, are a popular group of methods that are used in conjunction with coefficient hypothesis testing to discover explanatory variables with a significant multivariate association to a response. However, many investigators are...
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| Publicado en: | J Causal Inference |
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| Autores principales: | , |
| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
2015
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| Materias: | |
| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4861166/ https://ncbi.nlm.nih.gov/pubmed/27170915 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1515/jci-2015-0011 |
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