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
发表于2024-12-25
Statistics for High-Dimensional Data 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024
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评分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
评分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
评分很奇怪这本书为什么叫high dimensional statistics,可能是我先入为主的读过Martin和Roman的HDS?后两本的广度远超这本。不过这本也是极好的,教会了我Lasso。
评分哦哦哦,对的还有这本!
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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Statistics for High-Dimensional Data 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024