Robert Tibshirani

Robert Tibshirani FRS FRSC is a professor in the Departments of Statistics and Biomedical Data Science at Stanford University. He was a professor at the University of Toronto from 1985 to 1998. In his work, he develops statistical tools for the analysis of complex datasets, most recently in genomics and proteomics.
His most well-known contributions are the
Lasso method, which proposed the use of L¹ penalization in regression and related problems, and Significance Analysis of Microarrays.

Ebooks

An Introduction to Statistical Learning: with Applications in Python

1.0

An Introduction to Statistical Learning: with Applications in R

Book 103

4.5

The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition, Edition 2

3.8

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

4.0

An Introduction to Statistical Learning: with Applications in R, Edition 2

Statistical Learning with Sparsity: The Lasso and Generalizations