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High Dimensional Statistics: Theory and Practice

This course, taught in English, presents an introduction and recent advances in high dimensional statistics, with a special emphasis on main concepts of variable selection, nonparametric estimation, supervised and non-supervised classification and multiple testing. It will address theoretical, methodological and practical aspects of this field. Presented by European Courses in Advanced Statistics and Societe Francaise de Statistique.
When 01 October 2017 11:30 AM to
06 October 2017 11:30 AM
Where Frejus FR
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Topics include: wavelet analysis, ridge and Lasso regression estimators, variable and model selection, Gaussian regression, logistic regression, and more. 

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