Advances in Complex Data Modeling

and Computational Methods in Statistics

Anna Maria Paganoni, Piercesare Secchi

210 pages, parution le 25/11/2014

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Résumé

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.

L'avis du libraire Eyrolles

The book is addressed to statisticians working at the forefront of the statistical analysis of complex...

Caractéristiques techniques

	PAPIER
Éditeur(s)	Springer
Auteur(s)	Anna Maria Paganoni, Piercesare Secchi
Parution	25/11/2014
Nb. de pages	210
Format	16 x 24
Couverture	Cartonné
Intérieur	Quadri
EAN13	9783319111483
ISBN13	978-3-319-11149-0