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Statistics for High-Dimensional Data 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2025

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Peter Bühlmann 作者

Springer

译者

2011-6-14 出版日期

558 页数

USD 79.11 价格

Hardcover

Springer Series in Statistics 丛书系列

9783642201912 图书编码

Statistics for High-Dimensional Data 在线电子书图书标签: 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2025-04-07

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Statistics for High-Dimensional Data 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2025

Statistics for High-Dimensional Data 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2025

Statistics for High-Dimensional Data 在线电子书用户评价

评分☆☆☆☆☆

lasso讲的很清楚

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在读

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哦哦哦，对的还有这本！

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高维统计的入门书籍, 对高维的奠基性工作Lasso有比较详细的介绍。主要着重在linear model上，也有作者实用上特别是生物统计中的经验。不错的入门书籍

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Statistics for High-Dimensional Data 在线电子书著者简介

Statistics for High-Dimensional Data 在线电子书图书目录

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

Statistics for High-Dimensional Data 在线电子书图书描述

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.

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