Big and Complex Data Analysis - Methodologies and Applications (Hardcover, 1st ed. 2017)

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 essential new developments in the field. The continued and rapid advancement of modern technology now allows scientists to collect data of increasingly unprecedented size and complexity. Examples include epigenomic data, genomic data, proteomic data, high-resolution image data, high-frequency financial data, functional and longitudinal data, and network data. Simultaneous variable selection and estimation is one of the key statistical problems involved in analyzing such big and complex data. The purpose of this book is to stimulate research and foster interaction between researchers in the area of high-dimensional data analysis. More concretely, its goals are to: 1) highlight and expand the breadth of existing methods in big data and high-dimensional data analysis and their potential for the advancement of both the mathematical and statistical sciences; 2) identify important directions for future research in the theory of regularization methods, in algorithmic development, and in methodologies for different application areas; and 3) facilitate collaboration between theoretical and subject-specific researchers.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Contributions to Statistics
Release date:	March 2017
First published:	2017
Editors:	S. Ejaz Ahmed
Dimensions:	235 x 155 x 30mm (L x W x T)
Format:	Hardcover
Pages:	386
Edition:	1st ed. 2017
ISBN-13:	978-3-319-41572-7
Categories:	Books > Computing & IT > Computer software packages > Other software packages > Mathematical & statistical software Books > Computing & IT > Applications of computing > Databases > Data capture & analysis Books > Computing & IT > Applications of computing > Databases > Data mining
LSN:	3-319-41572-7
Barcode:	9783319415727

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