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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
This book describes the important ideas in a variety of fields such as medicine, biology, finance, and marketing in a common conceptual framework. While the approach is ...
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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 ...
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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 ...
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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 ...
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Computer Age Statistical Inference

Bradley Efron, Trevor Hastie - Business & Economics - 2016 - 475 pages
Take an exhilarating journey through the modern revolution in statistics with two of the ringleaders.
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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 ...
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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 ...
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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 ...
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Learning from Data: Concepts, Theory, and Methods

Vladimir Cherkassky, Filip M. Mulier - Computers - 2007 - 624 pages
An interdisciplinary framework for learning methodologies—covering statistics, neural networks, and fuzzy logic, this book provides a unified treatment of the principles and ...
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