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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