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Conferences - Meetings --- Italian letters --- European letters --- History and criticism --- Pius --- Correspondence --- Lettres (Genre littéraire) italiennes --- Lettres (Genre littéraire) européennes --- Congresses --- Histoire et critique --- Congrès --- Congresses. --- Lettres (Genre littéraire) italiennes --- Lettres (Genre littéraire) européennes --- Congrès
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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.
Mathematical statistics --- Statistique mathématique --- Data processing. --- Informatique --- Engineering. --- Mathematical statistics. --- Mathematics. --- Software engineering. --- Statistical methods. --- Statistics. --- Mathematics --- Physical Sciences & Mathematics --- Mathematical Statistics --- Numerical analysis --- Data structures (Computer science) --- Statistique mathématique --- EPUB-LIV-FT LIVMATHE LIVSTATI SPRINGER-B --- Statistical inference --- Statistics, Mathematical --- Information structures (Computer science) --- Structures, Data (Computer science) --- Structures, Information (Computer science) --- Statistical methods --- Biostatistics. --- Applied mathematics. --- Engineering mathematics. --- Complexity, Computational. --- Statistical Theory and Methods. --- Applications of Mathematics. --- Complexity. --- Software Engineering/Programming and Operating Systems. --- Statistics --- Probabilities --- Sampling (Statistics) --- Electronic data processing --- File organization (Computer science) --- Abstract data types (Computer science) --- Computer software engineering --- Engineering --- Construction --- Industrial arts --- Technology --- Math --- Science --- Statistics . --- Computational complexity. --- Complexity, Computational --- Machine theory --- Biological statistics --- Biology --- Biometrics (Biology) --- Biostatistics --- Biomathematics --- Engineering analysis --- Mathematical analysis --- Statistical analysis --- Statistical data --- Statistical science --- Econometrics
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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.
Statistical science --- Mathematics --- Biomathematics. Biometry. Biostatistics --- Applied physical engineering --- Computer science --- Programming --- Computer. Automation --- toegepaste wiskunde --- complexiteit --- biostatistiek --- economie --- informatica --- computerbesturingssystemen --- statistiek --- programmeren (informatica) --- wiskunde --- software engineering --- statistisch onderzoek
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