Robert Tibshirani

10 ta ish

Stanford University

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

   Trevor Hastie, Robert Tibshirani, Jerome H. Friedman

   Kitob201313 iqtibos

   ABIABI:AkademIndex/2026.other.070988

2. Regression Shrinkage and Selection Via the Lasso

   Robert Tibshirani

   Maqola199611 iqtibos

   ABIABI:AkademIndex/2026.other.381790

3. An Introduction to the Bootstrap

   Bradley Efron, Robert Tibshirani

   Kitob19949 iqtibos

   ABIABI:AkademIndex/2026.other.358772

4. The Elements of Statistical Learning

   Trevor Hastie, J. Friedman, Robert Tibshirani

   Kitob20015 iqtibos

   ABIABI:AkademIndex/2026.other.070984

5. An Introduction to Statistical Learning

   Gareth James, Daniela Witten, Trevor Hastie +1

   Kitob20135 iqtibos

   ABIABI:AkademIndex/2026.other.111331

6. Least angle regression

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

   Maqola20045 iqtibos

   ABIABI:AkademIndex/2026.other.453077

7. Ensemble Learning

   Trevor Hastie, Robert Tibshirani, J. Friedman

   Bob20083 iqtibos

   ABIABI:AkademIndex/2026.other.311060

8. Linear Regression

   Gareth James, Daniela Witten, Trevor Hastie +2

   Bob20233 iqtibos

   ABIABI:AkademIndex/2026.other.324446

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

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

   Maqola20013 iqtibos

   ABIABI:AkademIndex/2026.other.434437

10. Regularization Paths for Generalized Linear Models via Coordinate Descent

    Jerome H. Friedman, Trevor Hastie, Robert Tibshirani

    MaqolaOAOchiq kirish20102 iqtibos

    ABIABI:AkademIndex/2026.other.239653