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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 - 767 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 ...
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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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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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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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The Nature of Statistical Learning Theory

Vladimir Vapnik - Computers - 2000 - 314 pages
The aim of this book is to discuss the fundamental ideas which lie behind the statistical theory of learning and generalization. It considers learning as a general problem of ...
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Generalized Additive Models

T.J. Hastie, R.J. Tibshirani - Mathematics - 1990 - 352 pages
This book describes an array of power tools for data analysis that are based on nonparametric regression and smoothing techniques. These methods relax the linear assumption of ...
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Elements of Statistical Computing: NUMERICAL COMPUTATION, Volume 1

R. A. Thisted - Mathematics - 1988 - 448 pages
Statistics and computing share many close relationships. Computing now permeates every aspect of statistics, from pure description to the development of statistical theory. At ...
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