Complex Models and Computational Methods in Statistics

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, de...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Grigoletto, Matteo. (Editor), Lisi, Francesco. (Editor), Petrone, Sonia. (Editor)
Format: Electronic
Language:English
Published: Milano : Springer Milan : Imprint: Springer, 2013.
Series:Contributions to Statistics,
Subjects:
Online Access:https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-88-470-2871-5
Description
Summary: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.
Physical Description:VIII, 227 p. 49 illus. online resource.
ISBN:9788847028715
ISSN:1431-1968