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Humboldt-Universität zu Berlin | Wirtschaftswissen­schaftliche Fakultät | High Dimensional Nonstationary Time Series | About us | News Feed | News 2018 | Publication: "Handbook of Big Data Analytics" - Springer Handbooks of Computational Statistics

Publication: "Handbook of Big Data Analytics" - Springer Handbooks of Computational Statistics

 

 

 

Publication

 

Professor Wolfgang Karl Härdle, speaker of the IRTG 1792, Henry Horng-Shing Lu and Xiaotong Shen (Eds.) have published the Handbook of Big Data Analytics in Springer Handbooks of Computational Statistics.

 

It offers a valuable guide to a broad range of big data analytics with statistics in cross-disciplinary applications and shows how to handle high-dimensional problems in big data analytics. Furthermore it provides software-hardware co-designs for big data analytics.

 

By 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. 

 

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