Big and Complex Data Analysis [electronic resource] Methodologies and Applications / edited by S. Ejaz Ahmed.

This volume conveys some of the surprises, puzzles and success stories in high-dimensional and complex data analysis and related fields. Its peer-reviewed contributions showcase recent advances in variable selection, estimation and prediction strategies for a host of useful models, as well as essent...

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Bibliographic Details
Uniform Title:Contributions to Statistics
Corporate Author: SpringerLink (Online service)
Other Authors: Ahmed, S. Ejaz (Editor)
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2017.
Edition:1st ed. 2017.
Series:Contributions to Statistics
Subjects:
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Variant Title:
Big and Complex Data Analysis: Methodologies and Applications
Format: Electronic eBook

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Online Access

Springer Mathematics and Statistics eBooks 2017 English/International: 2017 (Springer Link)