Handbook of Big Data Analytics (Springer Handbooks of Computational Statistics)
Language: English
Published by Springer, 2019
Series: Book 6 of 6 - Springer Handbooks of Computational Statistics
- Softcover
- New
Seller: Books Puddle, Woodside, NY, U.S.A.Books Puddle
AbeBooks seller since November 22, 2018
Condition: New
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pp. VIII, 538 147 illus., 109 illus. in color. Softcover reprint of the original 1st ed. 2018 edition NO-PA16APR2015-KAP.
Seller Inventory # 26384557306
- Title
- Handbook of Big Data Analytics (Springer Handbooks of Computational Statistics)
- Publisher
- Springer
- Publication year
- 2019
- Condition
- New
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 3030132382
- ISBN 13
- 9783030132385
- Series
- Book 6 of 6: Springer Handbooks of Computational Statistics
Shows how to handle high-dimensional problems in big data analytics
Offers software-hardware co-designs for big data analytics
"Synopsis" may belong to another edition of this title.
About the Author
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 anddata 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.
"About the title" may belong to another edition of this title.
Books Puddle
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