Statistical science

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  Año 2012, Vol. 27, Número 4

  • Introduction to the Special Issue on Sparsity and Regularization Methods

    Jon A. Wellner, Tong Zhang

    págs. 447-449

    

  • Structured Sparsity through Convex Optimization

    Francis Bach, Rodolphe Jenatton, Julien Mairal, Guillaume Obozinski

    págs. 450-468

    

  • Quasi-Likelihood and/or Robust Estimation in High Dimensions

    Sara van de Geer, Patric Müller

    págs. 469-480

    

  • A Selective Review of Group Selection in High-Dimensional Models

    Jian Huang, Patrick Breheny, Shuangge Ma

    págs. 481-499

    

  • High-Dimensional Regression with Unknown Variance

    Christophe Giraud, Sylvie Huet, Nicolas Verzelen

    págs. 500-518

    

  • Sparse Nonparametric Graphical Models

    John Lafferty, Han Liu, Larry Wasserman

    págs. 519-537

    

  • A Unified Framework for High-Dimensional Analysis of M-Estimators with Decomposable Regularizers

    Sahand N. Negahban, Padeep Ravikumar, Martin J. Wainwright, Bin Yu

    págs. 538-557

    

  • Sparse Estimation by Exponential Weighting

    Philippe Rigollet, Alexandre B. Tsybakov

    págs. 558-575

    

  • A General Theory of Concave Regularization for High-Dimensional Sparse Estimation Problems

    Cun-Hui Zhang, Tong Zhang

    págs. 576-593

    

  • A Conversation with David Findley

    Tucker McElroy, Scott H. Holan

    págs. 594-606