Tibshirani, Robert.
Overview
| Works: | 1 works in 0 publications in 0 languages | |
|---|---|---|
Titles
The elements of statistical learning : = data mining, inference, and prediction : with 200 full-color illustrations /
by:
Friedman, J. H.; Tibshirani, Robert.; Hastie, Trevor.
(Language materials, printed)
Generalized additive models /
by:
Tibshirani, Robert.; Hastie, Trevor.
(Language materials, printed)
Statistical learning with sparsity : = the lasso and generalizations /
by:
Hastie, Trevor.; Tibshirani, Robert.; Wainwright, Martin
(Language materials, printed)
An introduction to the bootstrap /
by:
Tibshirani, Robert.; Efron, Bradley.
(Language materials, printed)
The elements of statistical learning = data mining, inference, and prediction /
by:
Friedman, J. H.; Tibshirani, Robert.; SpringerLink (Online service); Hastie, Trevor.
(Language materials, printed)
Subjects
Regression analysis.
Computer Appl. in Life Sciences.
Least squares.
Smoothing (Statistics)
Statistical Theory and Methods.
Artificial Intelligence (incl. Robotics)
Linear models (Statistics)
Supervised learning (Machine learning)
Statistics for Engineering, Physics, Computer Science, Chemistry & Geosciences.
Data Mining and Knowledge Discovery.
Proof theory.
Statistics.
Bootstrap (Statistics)
Computational Biology/Bioinformatics.
Mathematical statistics.