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Advances in Complex Data Modeling and Computational Methods in Statistics (Contributions to Statistics)

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  • ISBN-13: 9783319385372
  • Publisher: Springer
  • Release Date: Oct 07, 2016
  • Edition: Softcover reprint of the original 1st ed. 2015
  • Pages: 209 pages
  • Dimensions: 0.52 x 9.25 x 6.1 inches
  • Sales Rank: 0

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Overview

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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