Introduction to high-dimensional statistics
著者
書誌事項
Introduction to high-dimensional statistics
（Monographs on statistics and applied probability, 139）
CRC Press, Taylor & Francis Group, c2015
大学図書館所蔵 件 / 全20件
-
該当する所蔵館はありません
- すべての絞り込み条件を解除する
注記
"A Chapman & Hall book"
Bibliography: p. 245-252
Includes index
内容説明・目次
内容説明
Ever-greater computing technologies have given rise to an exponentially growing volume of data. Today massive data sets (with potentially thousands of variables) play an important role in almost every branch of modern human activity, including networks, finance, and genetics. However, analyzing such data has presented a challenge for statisticians and data analysts and has required the development of new statistical methods capable of separating the signal from the noise.
Introduction to High-Dimensional Statistics is a concise guide to state-of-the-art models, techniques, and approaches for handling high-dimensional data. The book is intended to expose the reader to the key concepts and ideas in the most simple settings possible while avoiding unnecessary technicalities.
Offering a succinct presentation of the mathematical foundations of high-dimensional statistics, this highly accessible text:
Describes the challenges related to the analysis of high-dimensional data
Covers cutting-edge statistical methods including model selection, sparsity and the lasso, aggregation, and learning theory
Provides detailed exercises at the end of every chapter with collaborative solutions on a wikisite
Illustrates concepts with simple but clear practical examples
Introduction to High-Dimensional Statistics is suitable for graduate students and researchers interested in discovering modern statistics for massive data. It can be used as a graduate text or for self-study.
「Nielsen BookData」 より