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Robert Tibshirani

Author of the original lasso paper and co-author of glmnet and The Elements of Statistical Learning

Robert Tibshirani is a Professor of Biomedical Data Science and of Statistics at Stanford University. Tibshirani is the author of the original lasso paper, "Regression shrinkage and selection via the lasso" (1996), and is listed on CRAN as an author of glmnet, the R package for lasso and elastic-net regularized generalized linear models. With Trevor Hastie and Jerome Friedman, Tibshirani co-wrote The Elements of Statistical Learning, which the authors offer as a PDF download.12356

Work

This profile covers public professional work only, from the sources below. It is not an endorsement or a ranking. To correct or remove it, use the correction form.

Sources · reviewed Oct 13, 2026

  1. 1.
    Robert Tibshirani — Stanford Profiles (external site: profiles.stanford.edu)

    Stanford University · Official page · accessed Oct 13, 2026

  2. 2.
    Rob Tibshirani — home page (external site: tibshirani.su.domains)

    Robert Tibshirani (Stanford University) · Official page · accessed Oct 13, 2026

  3. 3.
    The Lasso Page (external site: tibshirani.su.domains)

    Robert Tibshirani (Stanford University) · Official page · accessed Oct 13, 2026

  4. 4.
    Rob Tibshirani — software (external site: tibshirani.su.domains)

    Robert Tibshirani (Stanford University) · Official page · accessed Oct 13, 2026

  5. 5.
  6. 6.
    The Elements of Statistical Learning: Data Mining, Inference, and Prediction (2nd edition) (external site: hastie.su.domains)

    Trevor Hastie (Stanford University) · Official page · published Feb 2009 · accessed Oct 13, 2026

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