Statistics for High-Dimensional Data

Statistics for High-Dimensional Data pdf epub mobi txt 電子書 下載2025

出版者:Springer
作者:Peter Bühlmann
出品人:
頁數:558
译者:
出版時間:2011-6-14
價格:USD 79.11
裝幀:Hardcover
isbn號碼:9783642201912
叢書系列:Springer Series in Statistics
圖書標籤:
  • 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
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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.

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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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lasso講的很清楚

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哦哦哦,對的還有這本!

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