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Více informací o knize Big and Complex Data Analysis

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• Anotace
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Anotace knihy

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.??

Parametry knihy

Zařazení knihy Knihy v angličtině Computing & information technology Business applications Mathematical & statistical software

• Plný název: Big and Complex Data Analysis
• Podnázev: Methodologies and Applications
• Autor: S. Ejaz Ahmed
• Jazyk: Angličtina
• Vazba: Pevná
• Počet stran: 386
• EAN: 9783319415727
• ISBN: 3319415727
• ID: 12580338
• Nakladatelství: Springer International Publishing AG
• Hmotnost: 762 g
• Rozměry: 242 × 163 × 30 mm
• Datum vydání: 29. March 2017

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