Contributions to Statistics

Big and Complex Data Analysis

Methodologies and Applications

Editors: Ahmed, S. Ejaz (Ed.)

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  • Explores the latest advances in the analysis of high-dimensional and complex data
  • Features methodological contributions as well as applications
  • Stimulates discussion and further research in high-dimensional data analysis
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Softcover $139.99
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About this book

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.

About the authors

Dr. S. Ejaz Ahmed is Dean of the Faculty of Mathematics and Science and a Professor of Statistics at Brock University. Before joining Brock, he was a professor and head of the Mathematics & Statistics Department at the University of Windsor and University of Regina. Prior to that, he was an assistant professor at the University of Western Ontario. He is an elected fellow of the American Statistical Association and holds many adjunct professorship positions. His areas of expertise include big data analysis, statistical inference, and shrinkage estimation. He has more than 150 published articles in scientific journals and has reviewed more than 100 books. Further, he has written several books, edited and co-edited several volumes and special issues of scientific journals. He has supervised numerous PhD and master’s students and organized several workshops/conferences and many invited sessions. Dr. Ahmed serves on the editorial board of many statistical journals and as a review editor for Technometrics. He served as a Board of Director and Chairman of the Education Committee of the Statistical Society of Canada, and as a VP communication for ISBIS. Recently, he served as a member of an Evaluation Group, Discovery Grants and the Grant Selection Committee, Natural Sciences and Engineering Research Council of Canada.

 

Table of contents (18 chapters)

  • Regularization After Marginal Learning for Ultra-High Dimensional Regression Models

    Feng, Yang (et al.)

    Pages 3-28

  • Empirical Likelihood Test for High Dimensional Generalized Linear Models

    Zang, Yangguang (et al.)

    Pages 29-50

  • Random Projections for Large-Scale Regression

    Thanei, Gian-Andrea (et al.)

    Pages 51-68

  • Testing in the Presence of Nuisance Parameters: Some Comments on Tests Post-Model-Selection and Random Critical Values

    Leeb, Hannes (et al.)

    Pages 69-82

  • Analysis of Correlated Data with Error-Prone Response Under Generalized Linear Mixed Models

    Yi, Grace Y. (et al.)

    Pages 83-102

Buy this book

eBook $109.00
price for USA in USD (gross)
  • ISBN 978-3-319-41573-4
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $139.99
price for USA in USD
  • ISBN 978-3-319-41572-7
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $139.99
price for USA in USD
  • ISBN 978-3-319-82387-4
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Big and Complex Data Analysis
Book Subtitle
Methodologies and Applications
Editors
  • S. Ejaz Ahmed
Series Title
Contributions to Statistics
Copyright
2017
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing AG
eBook ISBN
978-3-319-41573-4
DOI
10.1007/978-3-319-41573-4
Hardcover ISBN
978-3-319-41572-7
Softcover ISBN
978-3-319-82387-4
Series ISSN
1431-1968
Edition Number
1
Number of Pages
XIV, 386
Number of Illustrations
30 b/w illustrations, 55 illustrations in colour
Topics