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Sufficient Dimension Reduction via Bayesian Mixture Modeling

Dimension reduction is central to an analysis of data with many predictors. Sufficient dimension reduction aims to identify the smallest possible number of linear combinations of the predictors, called the sufficient predictors, that retain all of the information in the predictors about the response...

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Detalhes bibliográficos
Main Authors: Reich, Brian J., Bondell, Howard D., Li, Lexin
Formato: Artigo
Idioma:Inglês
Publicado em: 2010
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC3117934/
https://ncbi.nlm.nih.gov/pubmed/21039398
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/j.1541-0420.2010.01501.x
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