Advances in Complex Data Modeling and Computational Methods in Statistics

Lieferzeit: Lieferbar innerhalb 14 Tagen

53,49 

Contributions to Statistics

ISBN: 3319385372
ISBN 13: 9783319385372
Herausgeber: Anna Maria Paganoni/Piercesare Secchi
Verlag: Springer Verlag GmbH
Umfang: viii, 209 S., 14 s/w Illustr., 27 farbige Illustr., 209 p. 41 illus., 27 illus. in color.
Erscheinungsdatum: 23.08.2016
Auflage: 1/2015
Produktform: Kartoniert
Einband: KT

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.

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