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  • École d'Été de Probabilités de Saint-Flour XLV – 2015
    Sara van de Geer
    978-3-319-32774-7
    2016
    Edition 1
    • Starting with the popular Lasso method as its prime example, the book then extends to a broad family of estimation methods for high-dimensional data
    • A theoretical basis for sparsity-inducing methods is provided, together with ways to build confidence intervals and tests
    • The focus is on common features of methods for high-dimensional data and, as such, a potential starting point is given for the analysis of other methods not treated in the book

    €110

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