Trevor Hastie

Trevor Hastie

Trevor Hastie is The John A. Overdeck Professor, Professor of Statistics, and Professor of Biomedical Data Science at Stanford University.

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Books Authored by Trevor Hastie

Statistical Learning with Sparsity: The Lasso and Generalizations

Post date: 09 Apr 2016
The explosion in computation and information technology has brought vast amounts of data in a variety of fields such as medicine, biology, finance, and marketing. This book descibes the important ideas in these areas in a common conceptual framework.
Publication date: 07 May 2015
 
Statistical Learning with Sparsity: The Lasso and Generalizations

Statistical Learning with Sparsity: The Lasso and Generalizations

Post date: 09 Apr 2016
The explosion in computation and information technology has brought vast amounts of data in a variety of fields such as medicine, biology, finance, and marketing. This book descibes the important ideas in these areas in a common conceptual framework.
Publication date: 07 May 2015


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

Post date: 08 Apr 2016
This book descibes the important ideas of data mining, machine learning, and bioinformatics in a common conceptual framework. Topics include neural networks, support vector machines, classification trees and boosting.
Publisher: Springer-Verlag GmbH
Publication date: 01 Dec 2015
Document Type: Textbook
 
The Elements of Statistical Learning: Data Mining, Inference, and Prediction.

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

Post date: 08 Apr 2016
This book descibes the important ideas of data mining, machine learning, and bioinformatics in a common conceptual framework. Topics include neural networks, support vector machines, classification trees and boosting.
Publisher: Springer-Verlag GmbH
Publication date: 01 Dec 2015
Document Type: Textbook


An Introduction to Statistical Learning with Applications in R

Post date: 07 Apr 2016
An introduction to statistical learning methods, this book contains a number of R labs with detailed explanations on how to implement the various methods in real life settings.
Publisher: Springer-Verlag GmbH
Publication date: 24 Jun 2014
 
 An Introduction to Statistical Learning with Applications in R

An Introduction to Statistical Learning with Applications in R

Post date: 07 Apr 2016
An introduction to statistical learning methods, this book contains a number of R labs with detailed explanations on how to implement the various methods in real life settings.
Publisher: Springer-Verlag GmbH
Publication date: 24 Jun 2014


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