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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Bibliografiske detaljer
Hovedforfatter: Grigoletto, Matteo
Andre forfattere: Lisi, Francesco (Directeur de la publication), Petrone, Sonia (Directeur de la publication)
Format: Livre numérique
Sprog:Anglais
Udgivet: Milano : Springer Milan 2013.
Cham : Springer Nature
Serier:Contributions to Statistics
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Edition sous un autre format:• Complex Models and Computational Methods in Statistics, Texte imprimé, 9788847028722
• Complex Models and Computational Methods in Statistics, Texte imprimé, 9788847055650
• Complex models and computational methods in statistics, Matteo Grigoletto, Francesco Lisi, Sonia Petrone, Milan, Springer, Physica-Verlag, 2013, 1 vol. (VIII-227 pages), Contributions to statistics, 978-88-470-2870-8
Beskrivelse
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.
Emne beskrivelse:Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
ISBN:9788847028715
ISSN:2628-8966
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