Search Images Maps Play YouTube News Gmail Drive More »
Sign in
Books Books 1 - 10 of about 45 related to The Elements of Statistical Learning: Data Mining, Inference, and Prediction.   

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

Trevor Hastie, Robert Tibshirani, Jerome Friedman - Computers - 2009 - 745 pages
During the past decade there has been an explosion in computation and information technology. With it have come vast amounts of data in a variety of fields such as medicine ...
Limited preview - About this book

From Statistics to Neural Networks: Theory and Pattern Recognition Applications

Vladimir Cherkassky, Jerome H. Friedman, Harry Wechsler - Computers - 2012 - 394 pages
The NATO Advanced Study Institute From Statistics to Neural Networks, Theory and Pattern Recognition Applications took place in Les Arcs, Bourg Saint Maurice, France, from June ...
Limited preview - About this book

Statistical Learning with Sparsity: The Lasso and Generalizations

Trevor Hastie, Robert Tibshirani, Martin Wainwright - Business & Economics - 2015 - 367 pages
Discover New Methods for Dealing with High-Dimensional Data A sparse statistical model has only a small number of nonzero parameters or weights; therefore, it is much easier to ...
Limited preview - About this book

An Introduction to Statistical Learning: with Applications in R

Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani - Mathematics - 2013 - 426 pages
An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data ...
Limited preview - About this book

Computer Age Statistical Inference

Bradley Efron, Trevor Hastie - Business & Economics - 2016 - 476 pages
The twenty-first century has seen a breathtaking expansion of statistical methodology, both in scope and in influence. 'Big data', 'data science', and 'machine learning' have ...
Limited preview - About this book

A nested partitioning procedure for numerical multiple integration

Jerome H. Friedman, Margaret H. Wright - 1979 - 36 pages
An algorithm is presented for adaptively partitioning a multidimensional coordinate space based on optimization of a scalar function of the coordinates. The goal is to ...
Snippet view - About this book

An adaptive importance sampling procedure

Stanford University. Systems Optimization Laboratory, Jerome H. Friedman, Margaret H. Wright - Sampling (Statistics) - 1981 - 13 pages
Monte Carlo calculations often require generation of a random sample of n-dimensional points drawn from a specified multivariate probability distribution. We present an ...
Snippet view - About this book

Statistical Models in S

John M. Chambers, Trevor Hastie - Mathematics - 1992 - 608 pages
This book contains a collection of ten articles by noted statistical researchers on implementing recent ideas in statistical computing using S. The software, S, can be ...
Snippet view - About this book

e-Study Guide for: The Elements of Statistical Learning

Cram101 Textbook Reviews - Education - 2012 - 47 pages
Never Highlight a Book Again! Just the FACTS101 study guides give the student the textbook outlines, highlights, practice quizzes and optional access to the full practice tests ...
Limited preview - About this book




  1. My library
  2. Help
  3. Advanced Book Search