Big and Complex Data Analysis Methodologies and Applications /

• Corporate Author: SpringerLink (Online service)
• Other Authors: Ahmed, S. Ejaz (Editor)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2017.
• Series: Contributions to Statistics,
• Subjects: Statistics.; Big data.; Data mining.; Biostatistics.; Statistical Theory and Methods.; Statistics and Computing/Statistics Programs.; Big Data/Analytics.; Data Mining and Knowledge Discovery.

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...