Téléchargez le livre : Advances in Complex Data Modeling and Computational Methods in Statistics

Advances in Complex Data Modeling and Computational Methods in Statistics

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Éditeur :

Springer


Collection :

Contributions to Statistics

Paru le : 2014-11-04

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Description
The book is addressed to statisticians working at the forefront of the statistical analysis of complex and high dimensional data and offers a wide variety of statistical models, computer intensive methods and applications: network inference from the analysis of high dimensional data; new developments for bootstrapping complex data; regression analysis for measuring the downsize reputational risk; statistical methods for research on the human genome dynamics; inference in non-euclidean settings and for shape data; Bayesian methods for reliability and the analysis of complex data; methodological issues in using administrative data for clinical and epidemiological research; regression models with differential regularization; geostatistical methods for mobility analysis through mobile phone data exploration. This volume is the result of a careful selection among the contributions presented at the conference "S.Co.2013: Complex data modeling and computationally intensive methods for estimation and prediction" held at the Politecnico di Milano, 2013. All the papers published here have been rigorously peer-reviewed.
Pages
209 pages
Collection
Contributions to Statistics
Parution
2014-11-04
Marque
Springer
EAN papier
9783319111483
EAN EPUB
9783319111490
Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
20
Taille du fichier
3000 Ko
Prix
52,74 €

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