Advances in Complex Data Modeling and Computational Methods in Statistics (Paperback, Softcover reprint of the original 1st ed. 2015)

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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Contributions to Statistics
Release date:	August 2016
First published:	2015
Editors:	Anna Maria Paganoni • Piercesare Secchi
Dimensions:	235 x 155 x 12mm (L x W x T)
Format:	Paperback
Pages:	209
Edition:	Softcover reprint of the original 1st ed. 2015
ISBN-13:	978-3-319-38537-2
Categories:	Books > Computing & IT > General Books > Science & Mathematics > Mathematics > Probability & statistics Books > Science & Mathematics > Mathematics > Applied mathematics > General Books > Science & Mathematics > Biology, life sciences > Life sciences: general issues > General Promotions
LSN:	3-319-38537-2
Barcode:	9783319385372

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