Statistics for High-Dimensional Data pdf epub mobi txt 电子书 下载 2025
- 机器学习
- 统计
- Statistics
- 数学
- 统计学
- high-dimension
- 统计理论
- statistics
- 统计学
- 高维数据
- 机器学习
- 数据分析
- 统计建模
- 降维
- 特征选择
- 正则化
- 理论统计
- 应用统计
具体描述
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.
作者简介
目录信息
读后感
评分
评分
评分
评分
用户评价
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lasso讲的很清楚
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
相关图书
本站所有内容均为互联网搜索引擎提供的公开搜索信息，本站不存储任何数据与内容，任何内容与数据均与本站无关，如有需要请联系相关搜索引擎包括但不限于百度，google,bing,sogou 等
© 2025 book.quotespace.org All Rights Reserved. 小美书屋 版权所有