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Introduction to High-Dimensional Statistics (Chapman & Hall/CRC Monographs on Statistics & Applied Probability)

Christophe Giraud




[PDF.qs89] Introduction to High-Dimensional Statistics (Chapman & Hall/CRC Monographs on Statistics & Applied Probability)

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 | #853786 in Books |  CRC Press |  2014-12-17 | Original language:English | PDF # 1 |  9.50 x6.50 x.75l,1.16 | File type: PDF | 270 pages

 | CRC Press

||3 of 3 people found the following review helpful.| Needs improvement|By MsCurious|Chapter 1 is interesting and readable, but the rest of the book isn't. The author's notation is cryptic and there are few examples. Recent book Statistical Learning with Sparsity: The Lasso and Generalizations (Chapman & Hall/CRC Monographs on Statistics & Applied Probability) is much better at explaining sparsity. Another book Foundations of Mach| ||"Introduction to High-Dimensional Statistics by Christophe Giraud succeeds singularly at providing a structured introduction to this active field of research. … it is arguably the most accessible overview yet published of the mathemati

Ever-greater computing technologies have given rise to an exponentially growing volume of data. Today massive data sets (with potentially thousands of variables) play an important role in almost every branch of modern human activity, including networks, finance, and genetics. However, analyzing such data has presented a challenge for statisticians and data analysts and has required the development of new statistical methods capable of separating the signal from...

You can specify the type of files you want, for your device.Introduction to High-Dimensional Statistics (Chapman & Hall/CRC Monographs on Statistics & Applied Probability)   |  Christophe Giraud. I really enjoyed this book and have already told so many people about it!

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