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Sara van de Geer – författare

Visar alla böcker från författaren Sara van de Geer. Handla med fri frakt och snabb leverans.

7 produkter

  1. Sara van de Geer, Marten Wegkamp - Selected Works of Willem van Zwet, Inbunden. Tillgänglighet: Lägg i varukorg

    Selected Works of Willem van Zwet

    Av Sara van de Geer, Marten Wegkamp

    Inbunden, 2011

    554 kr

    Lägg i varukorg

    With this collections volume, some of the important works of Willem van Zwet are moved to the front layers of modern statistics. The selection was based on discussions with Willem, and aims at a representative sample. The result is a collection of papers that the new generations of statisticians …

  2. Marten Wegkamp, Sara van de Geer - Selected Works of Willem van Zwet, E-bok. Tillgänglighet: Lägg i varukorg

    Selected Works of Willem van Zwet

    Av Marten Wegkamp, Sara van de Geer

    E-bok, 2011

    734 kr

    Lägg i varukorg

    With this collections volume, some of the important works of Willem van Zwet are moved to the front layers of modern statistics. The selection was based on discussions with Willem, and aims at a representative sample. The result is a collection of papers that the new generations of statisticians …

  3. Sara van de Geer - Estimation and Testing Under Sparsity, Häftad. Tillgänglighet: Lägg i varukorg

    Estimation and Testing Under Sparsity

    École d'Été de Probabilités de Saint-Flour XLV – 2015

    Av Sara van de Geer

    Häftad, 2016

    607 kr

    Lägg i varukorg

    Taking the Lasso method as its starting point, this book describes the main ingredients needed to study general loss functions and sparsity-inducing regularizers. It also provides a semi-parametric approach to establishing confidence intervals and tests. Sparsity-inducing methods have proven to be …

  4. Sara van de Geer - Estimation and Testing Under Sparsity, E-bok. Tillgänglighet: Lägg i varukorg

    Estimation and Testing Under Sparsity

    École d''Été de Probabilités de Saint-Flour XLV – 2015

    Av Sara van de Geer

    E-bok, 2016

    797 kr

    Lägg i varukorg

    Taking the Lasso method as its starting point, this book describes the main ingredients needed to study general loss functions and sparsity-inducing regularizers. It also provides a semi-parametric approach to establishing confidence intervals and tests. Sparsity-inducing methods have proven to be …

  5. Peter Bühlmann, Sara van de Geer - Statistics for High-Dimensional Data, Inbunden. Tillgänglighet: Lägg i varukorg

    Statistics for High-Dimensional Data

    Methods, Theory and Applications

    Av Peter Bühlmann, Sara van de Geer

    Inbunden, 2011

    1644 kr

    Lägg i varukorg

    Modern statistics deals with large and complex data sets, and consequently with models containing a large number of parameters. This book presents a detailed account of recently developed approaches, including the Lasso and versions of it for various models, boosting methods, undirected graphical …

  6. Sara van de Geer, Peter Buhlmann - Statistics for High-Dimensional Data, E-bok. Tillgänglighet: Lägg i varukorg

    Statistics for High-Dimensional Data

    Methods, Theory and Applications

    Av Sara van de Geer, Peter Buhlmann

    E-bok, 2011

    1646 kr

    Lägg i varukorg

    Modern statistics deals with large and complex data sets, and consequently with models containing a large number of parameters. This book presents a detailed account of recently developed approaches, including the Lasso and versions of it for various models, boosting methods, undirected graphical …

  7. Peter Bühlmann, Sara van de Geer - Statistics for High-Dimensional Data, Häftad. Tillgänglighet: Lägg i varukorg

    Statistics for High-Dimensional Data

    Methods, Theory and Applications

    Av Peter Bühlmann, Sara van de Geer

    Häftad, 2013

    1261 kr

    Lägg i varukorg

    Modern statistics deals with large and complex data sets, and consequently with models containing a large number of parameters. This book presents a detailed account of recently developed approaches, including the Lasso and versions of it for various models, boosting methods, undirected graphical …