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Article dans une revue

Grouping strategies and thresholding for high dimensional linear models: Discussion

Abstract : This is a discussion of the article entitled Grouping strategies and thresholding for high dimensional linear models by M. Mougeot, D. Picard and K. Tribouley and published in the Journal of Statistical Planning and Inference (2013). http://dx.doi.org/10.1016/j.jspi.2013.03.001. We first discuss how to define and measure intra and inter-group correlations, what their respective roles in the problem are and relate this to the quantities considered in the paper. We then compare the strategy of grouping either most correlated or most uncorrelated variables together. An alternative grouping algorithm based on the ideas in the paper and using hierarchical clustering and bin packing is proposed. Finally, we discuss if the construction proposed could be beneficial to the group Lasso.
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https://hal-enpc.archives-ouvertes.fr/hal-00833808
Contributeur : Guillaume Obozinski <>
Soumis le : jeudi 13 juin 2013 - 15:24:16
Dernière modification le : mercredi 26 février 2020 - 19:06:06

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Guillaume Obozinski. Grouping strategies and thresholding for high dimensional linear models: Discussion. Journal of Statistical Planning and Inference, Elsevier, 2013, 143 (9), pp.1441-1446. ⟨10.1016/j.jspi.2013.03.003⟩. ⟨hal-00833808⟩

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