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2017, Second Edition ; Corrected at 12th printing 2017, Springer series in statistics, ISBN 0387848576, xxii, 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... 
Electronic data processing | Data processing | Biology | Mathematics | Data mining | Statistics | Supervised learning (Machine learning) | Computational biology | Mathematical statistics
Book
1993, Wadsworth & Brooks/Cole computer science series., ISBN 9780534167646, xv, 608
Book
1990, 1st ed., Monographs on statistics and applied probability, ISBN 0412343908, Volume 43., xv, 335
Book
2001, Springer series in statistics., ISBN 9780387952840
eBook
05/2015, Chapman & Hall/CRC Monographs on Statistics & Applied Probability, ISBN 9781498712163, Volume 143, 367
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... 
Statistical Theory & Methods | Statistical Computing | Machine Learning | Least squares | Linear models (Statistics) | Proof theory | Mathematical statistics
eBook
01/2016, Institute of Mathematical Statistics Monographs, ISBN 9781316576533, Volume 5, 433
The twenty-first century has seen a breathtaking expansion of statistical methodology, both in scope and in influence. 'Big data', 'data science', and 'machine... 
Mathematical statistics
Book
2016, Institute of Mathematical Statistics monographs, ISBN 9781107149892
Web Resource
2016, Institute of Mathematical Statistics monographs, ISBN 9781107149892
Web Resource
2016, Institute of Mathematical Statistics monographs, ISBN 9781107149892
Web Resource
2016, Institute of Mathematical Statistics monographs, ISBN 9781107149892, Volume 5
The twenty-first century has seen a breathtaking expansion of statistical methodology, both in scope and in influence. 'Big data', 'data science', and 'machine... 
Mathematical statistics | Data processing
Web Resource
2016, Institute of Mathematical Statistics monographs, ISBN 9781107149892
Web Resource
1996, Technical report series / University of Toronto, Department of Statistics, Volume no. 9611, 28
Book
Journal of Statistical Software, ISSN 1548-7660, 2010, Volume 33, Issue 1, pp. 1 - 22
We develop fast algorithms for estimation of generalized linear models with convex penalties. The models include linear regression, two-class logistic... 
Logistic regression | Elastic net | Coordinate-descent | penalty | Lasso | Regularization path | lasso | l penalty | CLASSIFICATION | STATISTICS & PROBABILITY | ALGORITHMS | VARIABLE SELECTION | CANCER | coordinate-descent | regularization path | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | PENALIZED LOGISTIC-REGRESSION | elastic net | logistic regression | ℓ1 penalty
Journal Article
1992, Technical report series, Volume no. 9206, 33
Book
1988, Technical report / University of Toronto, Dept. of statistics, Volume no.4/88., 19
Book
1985, Technical report / University of Toronto, Dept. of Statistics, Volume no. 14, 37 p. --
Book
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