Two new papers: ICA and Boosting

[Trevor Hastie]

 The following two papers have been posted to my web page at
http://www-stat.stanford.edu/~hastie/Papers/

a.. Trevor Hastie and Robert Tibshirani. Independent Component Analysis
through Product Density Estimation (ps file).  A direct statistical
approach to ICA, using an attractive spline representation to model each
of the marginal densities.

b.. Saharon Rosset, Ji Zhu and Trevor Hastie. Boosting as a Regularized
Path to a Maximum Margin Classifier (ps file).  We show that a version of
boosting fits a model by optimizing a L1-penalized loss function. This
in turn shows that the corresponding versions of Adaboost and Logitboost
converge to an "L1" optimal separating hyperplane.

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  Trevor Hastie                                  hastie at stanford.edu 
  Professor, Department of Statistics, Stanford University
  Phone: (650) 725-2231 (Statistics)        Fax: (650) 725-8977 
    (650) 498-5233 (Biostatistics)   Fax: (650) 725-6951
  URL: http://www-stat.stanford.edu/~hastie 
  address: room 104, Department of Statistics, Sequoia Hall
           390 Serra Mall, Stanford University, CA 94305-4065 
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