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Book synopsis

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.

Book details

Book category Books in English Mathematics & science Mathematics Probability & statistics

• Full title: Advances in Complex Data Modeling and Computational Methods in Statistics
• Author: Anna Maria Paganoni, Piercesare Secchi
• Language: English
• Binding: Paperback
• Number of pages: 209
• EAN: 9783319385372
• ISBN: 3319385372
• ID: 13814830
• Publisher: Springer International Publishing AG
• Weight: 3401 g
• Dimensions: 235 × 155 × 13 mm
• Date of publishing: 23. August 2016

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