Languages
Hastie, Trevor.
Overview
| Works: | 5 works in 2 publications in 1 languages | |
|---|---|---|
Titles
Statistical learning with sparsity :the lasso and generalizations /
by:
Hastie, Trevor.; Tibshirani, Robert.; Wainwright, Martin
(Language materials, printed)
The elements of statistical learningdata mining, inference, and prediction /
by:
Friedman, J. H.; Hastie, Trevor.; SpringerLink (Online service); Tibshirani, Robert.
(Electronic resources)
Generalized additive models /
by:
Hastie, Trevor.; Tibshirani, Robert.
(Language materials, printed)
The elements of statistical learning :data mining, inference, and prediction /
by:
Friedman, J. H.; Hastie, Trevor.; Tibshirani, Robert.
(Language materials, printed)
The elements of statistical learning :data mining, inference, and prediction /
by:
Friedman, J. H.; Hastie, Trevor.; Tibshirani, Robert.
(Language materials, printed)
Computer age statistical inferencealgorithms, evidence, and data science /
by:
Efron, Bradley.; Hastie, Trevor.
(Electronic resources)
Subjects
Regression analysis.
Computer Appl. in Life Sciences.
Least squares.
Smoothing (Statistics)
Statistical Theory and Methods.
Artificial Intelligence (incl. Robotics)
Supervised learning (Machine learning)
Linear models (Statistics)
Data Mining and Knowledge Discovery.
Statistics for Engineering, Physics, Computer Science, Chemistry & Geosciences.
Proof theory.
Mathematical statistics
Statistics.
Computational Biology/Bioinformatics.
Mathematical statistics.