Perspectives on big data analysis : methodologies and applications : International Workshop on Perspectives on High-Dimensional Data Anlaysis II, May 30-June 1, 2012, Centre de recherches mathématiques, Université de Montréal, Montréal

Author(s)

• International Workshop on Perspectives on High-Dimensional Data Analysis
• Ahmed, S. E. (Syed Ejaz)

Bibliographic Information

Perspectives on big data analysis : methodologies and applications : International Workshop on Perspectives on High-Dimensional Data Anlaysis II, May 30-June 1, 2012, Centre de recherches mathématiques, Université de Montréal, Montréal

S. Ejaz Ahmed, editor

（Contemporary mathematics, 622 . Centre de recherches mathématiques proceedings）

American Mathematical Society , Centre de recherches mathématiques, c2014

Other Title

Big data analysis

Note

Includes bibliographical references

Description and Table of Contents

Description

This volume contains the proceedings of the International Workshop on Perspectives on High-dimensional Data Analysis II, held May 30-June 1, 2012, at the Centre de Recherches Mathematiques, Universite de Montreal, Montreal, Quebec, Canada. This book collates applications and methodological developments in high-dimensional statistics dealing with interesting and challenging problems concerning the analysis of complex, high-dimensional data with a focus on model selection and data reduction. The chapters contained in this book deal with submodel selection and parameter estimation for an array of interesting models. The book also presents some surprising results on high-dimensional data analysis, especially when signals cannot be effectively separated from the noise, it provides a critical assessment of penalty estimation when the model may not be sparse, and it suggests alternative estimation strategies. Readers can apply the suggested methodologies to a host of applications and also can extend these methodologies in a variety of directions. This volume conveys some of the surprises, puzzles and success stories in big data analysis and related fields. This book is co-published with the Centre de Recherches Mathematiques.

by "Nielsen BookData"

• NCID: BB16507035
• ISBN:
  • 9781470410421
• LCCN: 2014000814
• Country Code: us
• Title Language Code: eng
• Text Language Code: eng
• Place of Publication: Providence, R.I.,Montréal
• Pages/Volumes: xi, 191 p.
• Size: 26 cm
• Classification:
  • LCC : QA278
  • DC23 : 519.5/35
• Subject Headings:
  • LCSH : Multivariate analysis -- Congresses
  • LCSH : Artificial intelligence -- Congresses
  • LCSH : Big data -- Congresses
• Parent Bibliography ID:
  • BA00009927