Contributions to Statistics

Complex Models and Computational Methods in Statistics

Editors: Grigoletto, Matteo, Lisi, Francesco, Petrone, Sonia (Eds.)

  • The volume offers an updated overview of statistical methods for high-dimensional problems
  • It includes a wide range of statistical applications
  • It is addressed to the statistician working at the forefront of statistical analysis
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  • ISBN 978-88-470-2871-5
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  • ISBN 978-88-470-5565-0
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About this book

The use of computational methods in statistics to face complex problems and highly dimensional data, as well as the widespread availability of computer technology, is no news. The range of applications, instead, is unprecedented.

As often occurs, new and complex data types require new strategies, demanding for the development of novel statistical methods and suggesting stimulating mathematical problems.

This book is addressed to researchers working at the forefront of the statistical analysis of complex systems and using computationally intensive statistical methods.

Reviews

“Complex Models and Computational Methods in Statistics has a good collection of research papers on useful and interesting topics about complex and high-dimensional data. Researchers and professionals looking to learn more in this field of study could benefit from papers published in this volume. The content in most of these selected papers proved to be an enjoyable read.” (Technometrics, Vol. 56 (3), August, 2014)


Table of contents (17 chapters)

  • A New Unsupervised Classification Technique Through Nonlinear Non Parametric Mixed-Effects Models

    Azzimonti, Laura (et al.)

    Pages 1-11

  • Estimation Approaches for the Apparent Diffusion Coefficient in Rice-Distributed MR Signals

    Baraldo, Stefano (et al.)

    Pages 13-26

  • Longitudinal Patterns of Financial Product Ownership: A Latent Growth Mixture Approach

    Bassi, Francesca (et al.)

    Pages 27-36

  • Computationally Efficient Inference Procedures for Vast Dimensional Realized Covariance Models

    Bauwens, Luc (et al.)

    Pages 37-49

  • A GPU Software Library for Likelihood-Based Inference of Environmental Models with Large Datasets

    Cameletti, Michela (et al.)

    Pages 51-62

Buy this book

eBook $89.00
price for USA (gross)
  • ISBN 978-88-470-2871-5
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $119.00
price for USA
  • ISBN 978-88-470-2870-8
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $119.00
price for USA
  • ISBN 978-88-470-5565-0
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Rent the ebook  
  • Rental duration: 1 or 6 month
  • low-cost access
  • online reader with highlighting and note-making option
  • can be used across all devices
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Bibliographic Information

Bibliographic Information
Book Title
Complex Models and Computational Methods in Statistics
Editors
  • Matteo Grigoletto
  • Francesco Lisi
  • Sonia Petrone
Series Title
Contributions to Statistics
Copyright
2013
Publisher
Springer-Verlag Mailand
Copyright Holder
Springer-Verlag Italia
eBook ISBN
978-88-470-2871-5
DOI
10.1007/978-88-470-2871-5
Hardcover ISBN
978-88-470-2870-8
Softcover ISBN
978-88-470-5565-0
Series ISSN
1431-1968
Edition Number
1
Number of Pages
VIII, 228
Topics