Big and Complex Data Analysis

Methodologies and Applications

Nonfiction, Science & Nature, Mathematics, Statistics, Computers, Application Software
Cover of the book Big and Complex Data Analysis by , Springer International Publishing
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: ISBN: 9783319415734
Publisher: Springer International Publishing Publication: March 21, 2017
Imprint: Springer Language: English
Author:
ISBN: 9783319415734
Publisher: Springer International Publishing
Publication: March 21, 2017
Imprint: Springer
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

More books from Springer International Publishing

Cover of the book QCD Radiation in Top-Antitop and Z+Jets Final States by
Cover of the book Jan Hendrik Oort by
Cover of the book Thermodynamics for Sustainable Management of Natural Resources by
Cover of the book Technologies of Labour and the Politics of Contradiction by
Cover of the book Kenneth Warren and the Great Neglected Diseases of Mankind Programme by
Cover of the book Stochastic Models, Statistics and Their Applications by
Cover of the book Digital Subsampling Phase Lock Techniques for Frequency Synthesis and Polar Transmission by
Cover of the book Taxing Soda for Public Health by
Cover of the book Engaging First Peoples in Arts-Based Service Learning by
Cover of the book Validity and Validation in Social, Behavioral, and Health Sciences by
Cover of the book Emerging Technologies for Education by
Cover of the book Baudrillard and the Culture Industry by
Cover of the book Lectures on General Quantum Correlations and their Applications by
Cover of the book Applications for Future Internet by
Cover of the book Post 2030-Agenda and the Role of Space by
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy