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Trevor Hastie

12 ta ish

Stanford University

AkademScholarda batafsil koʻrsatkichlar

  1. The Elements of Statistical Learning: Data Mining, Inference, and Prediction

    Trevor Hastie, Robert Tibshirani, Jerome H. Friedman

    Kitob201313 iqtibos
    ABI

  2. A statistical explanation of MaxEnt for ecologists

    Jane Elith, Steven J. Phillips, Trevor Hastie +3

    MaqolaOchiq kirish201010 iqtibos
    ABI

  3. Regularization and Variable Selection Via the Elastic Net

    Hui Zou, Trevor Hastie

    MaqolaOchiq kirish20057 iqtibos
    ABI

  4. The Elements of Statistical Learning

    Trevor Hastie, J. Friedman, Robert Tibshirani

    Kitob20015 iqtibos
    ABI

  5. An Introduction to Statistical Learning

    Gareth James, Daniela Witten, Trevor Hastie +1

    Kitob20135 iqtibos
    ABI

  6. Least angle regression

    Bradley Efron, Trevor Hastie, Iain M. Johnstone +1

    Maqola20045 iqtibos
    ABI

  7. Regularization Paths for Generalized Linear Models via Coordinate Descent.

    Jerome H. Friedman, Trevor Hastie, Rob Tibshirani

    Maqola20103 iqtibos
    ABI

  8. Ensemble Learning

    Trevor Hastie, Robert Tibshirani, J. Friedman

    Bob20083 iqtibos
    ABI

  9. Linear Regression

    Gareth James, Daniela Witten, Trevor Hastie +2

    Bob20233 iqtibos
    ABI

  10. Gene expression patterns of breast carcinomas distinguish tumor subclasses with clinical implications

    Thérese Sørlie, Charles M. Perou, Robert Tibshirani +14

    Maqola20013 iqtibos
    ABI

  11. Regularization Paths for Generalized Linear Models via Coordinate Descent

    Jerome H. Friedman, Trevor Hastie, Robert Tibshirani

    MaqolaOchiq kirish20102 iqtibos
    ABI

  12. Improved Semiparametric Time Series Models of Air Pollution and Mortality

    Francesca Dominici, Aidan McDermott, Trevor Hastie

    Maqola20042 iqtibos
    ABI