Statistics for High-Dimensional Data pdf epub mobi txt 電子書 下載2025
- 機器學習
- 統計
- Statistics
- 數學
- 統計學
- high-dimension
- 統計理論
- statistics
- 統計學
- 高維數據
- 機器學習
- 數據分析
- 統計建模
- 降維
- 特徵選擇
- 正則化
- 理論統計
- 應用統計
具體描述
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.
著者簡介
圖書目錄
讀後感
評分
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用戶評價
高維統計的入門書籍, 對高維的奠基性工作Lasso有比較詳細的介紹。主要著重在linear model上，也有作者實用上特彆是生物統計中的經驗。不錯的入門書籍
评分哦哦哦，對的還有這本！
评分哦哦哦，對的還有這本！
评分哦哦哦，對的還有這本！
评分peter課講得很好，這學期跟著他把這本書過瞭一遍。而且peter說快齣第二版瞭，加瞭一章講de-biased lasso：https://stat.ethz.ch/~buhlmann/teaching/desparsifiedLasso.pdf（可能還會有其他新內容？）
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