Contributions to high dimensional statistical learning

@inproceedings{Girard2015ContributionsTH,
  title={Contributions to high dimensional statistical learning},
  author={Stephane. Girard},
  year={2015}
}
This report summarizes my contributions to high dimensional learning. Four research topics are addressed: Unsupervised nonlinear dimension reduction, high dimensional classification, high dimensional regression and copulas construction. 

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Collaborative sliced inverse regression

  • A. Chiancone, S. Girard, J. Chanussot
  • Communication in Statistics - Theory and Methods,
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1 Excerpt

Machine learning methods for the inversion of hyperspectral images

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1 Excerpt

A classification method for binary predictors combining similarity measures and mixture models

  • S. Sylla, S. Girard, A. Diongue, A. Diallo, C. Sokhna
  • Dependence Modeling,
  • 2015
1 Excerpt

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