Springer Handbooks of Computational Statistics

Handbook of Big Data Analytics

Editors: Härdle, Wolfgang Karl, Lu, Henry Horng-Shing, Shen, Xiaotong (Eds.)

  • Offers a valuable guide to a broad range of big data analytics with statistics in cross-disciplinary applications
  • Shows how to handle high-dimensional problems in big data analytics
  • Offers software-hardware co-designs for big data analytics  
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書籍の購入

イーブック ¥30,608
価格の適用国: Japan (日本円価格は個人のお客様のみ有効) (小計)
  • ISBN 978-3-319-18284-1
  • ウォーターマーク付、 DRMフリー
  • ファイル形式: EPUB, PDF
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ハードカバー ¥38,260
価格の適用国: Japan (日本円価格は個人のお客様のみ有効) (小計)
  • ISBN 978-3-319-18283-4
  • 個人のお客様には、世界中どこでも配送料無料でお届けします。
  • Usually dispatched within 3 to 5 business days.
この書籍について

Addressing a broad range of big data analytics in cross-disciplinary applications, this essential handbook focuses on the statistical prospects offered by recent developments in this field. To do so, it covers statistical methods for high-dimensional problems, algorithmic designs, computation tools, analysis flows and the software-hardware co-designs that are needed to support insightful discoveries from big data. The book is primarily intended for statisticians, computer experts, engineers and application developers interested in using big data analytics with statistics. Readers should have a solid background in statistics and computer science.  

著者について

Wolfgang Karl Härdle is Ladislaus von Bortkievicz Professor of Statistics at the Humboldt University of Berlin and director of C.A.S.E. (Center for Applied Statistics and Economics), director of the Collaborative Research Center 649 "Economic Risk" and also of the IRTG 1792 "High Dimensional Nonstationary Time Series". He teaches quantitative finance and semiparametric statistics. Professor Härdle's research focuses on dynamic factor models, multivariate statistics in finance and computational statistics. He is an elected member of the International Statistical Institute (ISI) and advisor to the Guanghua School of Management, Peking University, China.

Henry Horng-Shing Lu is Professor at the Institute of Statistics of the National Chiao Tung University, Taiwan and serves as the Vice President of Academic Affairs. He received his Ph.D. in Statistics from Cornell University, NY in 1994. He is an elected member of the International Statistical Institute (ISI). His research interests include statistics, applications and big data analytics. Professor Lu analyzes different types of data by developing statistical methodologies for machine learning with the power of statistical inference and computation algorithms. His findings were published in a wide spectrum of journals and conference papers. He also co-edited the Handbook of Statistical Bioinformatics, published by Springer in 2011.

Xiaotong Shen is John Black Johnston Distinguished Professor at the School of Statistics of the University of Minnesota, MN. He received his Ph.D. in Statistics from the University of Chicago, IL in 1991. He is Fellow of the American Statistical Association (ASA), the Institute of Mathematical Statistics (IMS), and the American Association for the Advancement of Science (AAAS) as well as an elected member of the International Statistical Institute (ISI). Professor Shen’s areas of interest include machine learning and data mining, likelihood-based inference, semiparametric and nonparametric models, model selection and averaging. His current research efforts are mainly devoted to the further development of structured learning as well as high-dimensional/high-order analysis. The targeted application areas are biomedical sciences and engineering.

Table of contents (21 chapters)

  • Statistics, Statisticians, and the Internet of Things

    Jordan, John M. (et al.)

    Pages 3-21

  • Cognitive Data Analysis for Big Data

    Shyr, Jing (et al.)

    Pages 23-47

  • Statistical Leveraging Methods in Big Data

    Zhang, Xinlian (et al.)

    Pages 51-74

  • Scattered Data and Aggregated Inference

    Huo, Xiaoming (et al.)

    Pages 75-102

  • Nonparametric Methods for Big Data Analytics

    Zhang, Hao Helen

    Pages 103-124

書籍の購入

イーブック ¥30,608
価格の適用国: Japan (日本円価格は個人のお客様のみ有効) (小計)
  • ISBN 978-3-319-18284-1
  • ウォーターマーク付、 DRMフリー
  • ファイル形式: EPUB, PDF
  • どの電子書籍リーダーからでもすぐにお読みいただけます。
  • ご購入後、すぐにダウンロードしていただけます。
ハードカバー ¥38,260
価格の適用国: Japan (日本円価格は個人のお客様のみ有効) (小計)
  • ISBN 978-3-319-18283-4
  • 個人のお客様には、世界中どこでも配送料無料でお届けします。
  • Usually dispatched within 3 to 5 business days.
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書誌情報

Bibliographic Information
Book Title
Handbook of Big Data Analytics
Editors
  • Wolfgang Karl Härdle
  • Henry Horng-Shing Lu
  • Xiaotong Shen
Series Title
Springer Handbooks of Computational Statistics
Copyright
2018
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing AG, part of Springer Nature
イーブック ISBN
978-3-319-18284-1
DOI
10.1007/978-3-319-18284-1
ハードカバー ISBN
978-3-319-18283-4
Series ISSN
2197-9790
Edition Number
1
Number of Pages
VIII, 538
Number of Illustrations
38 b/w illustrations, 109 illustrations in colour
Topics