Big and Complex Data Analysis Methodologies and Applications /

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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Corporate Author: SpringerLink (Online service)
Other Authors: Ahmed, S. Ejaz. (Editor, http://id.loc.gov/vocabulary/relators/edt)
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2017.
Edition:1st ed. 2017.
Series:Contributions to Statistics,
Subjects:
Online Access:https://doi.org/10.1007/978-3-319-41573-4