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Advances in Complex Data Modeling and Computational Methods in Statistics (Reprint) (Paperback)

Advances in Complex Data Modeling and Computational Methods in Statistics (Reprint) (Paperback) - image 1 of 1

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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.
Edition: Reprint
Genre: Mathematics, Science
Series Title: Contributions to Statistics
Format: Paperback
Publisher: Springer Verlag
Language: English
Street Date: September 9, 2016
TCIN: 51636562
UPC: 9783319385372
Item Number (DPCI): 248-26-9986

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