Statistics for High-Dimensional Data pdf epub mobi txt 电子书下载 2024

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Peter Bühlmann

Springer

2011-6-14

558

USD 79.11

Hardcover

Springer Series in Statistics

9783642201912

图书标签: 机器学习统计 Statistics 数学统计学 high-dimension 统计理论 statistics

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发表于2024-05-01

Statistics for High-Dimensional Data epub 下载 mobi 下载 pdf 下载 txt 电子书下载 2024

Statistics for High-Dimensional Data pdf epub mobi txt 电子书下载 2024

图书描述

Modern statistics deals with large and complex data sets, and consequently with models containing a large number of parameters. This book presents a detailed account of recently developed approaches, including the Lasso and versions of it for various models, boosting methods, undirected graphical modeling, and procedures controlling false positive selections. A special characteristic of the book is that it contains comprehensive mathematical theory on high-dimensional statistics combined with methodology, algorithms and illustrations with real data examples. This in-depth approach highlights the methods’ great potential and practical applicability in a variety of settings. As such, it is a valuable resource for researchers, graduate students and experts in statistics, applied mathematics and computer science.

Statistics for High-Dimensional Data 下载 mobi epub pdf txt 电子书