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Complex Data Modeling and Computationally Intensive Statistical Methods

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Release : 2011-01-27
Genre : Computers
Kind : eBook
Book Rating : 860/5 ( reviews)

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Book Synopsis Complex Data Modeling and Computationally Intensive Statistical Methods by : Pietro Mantovan

Download or read book Complex Data Modeling and Computationally Intensive Statistical Methods written by Pietro Mantovan. This book was released on 2011-01-27. Available in PDF, EPUB and Kindle. Book excerpt: Selected from the conference "S.Co.2009: Complex Data Modeling and Computationally Intensive Methods for Estimation and Prediction," these 20 papers cover the latest in statistical methods and computational techniques for complex and high dimensional datasets.

Complex Data Modeling and Computationally Intensive Statistical Methods

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Release : 2011-08-14
Genre :
Kind : eBook
Book Rating : 926/5 ( reviews)

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Book Synopsis Complex Data Modeling and Computationally Intensive Statistical Methods by :

Download or read book Complex Data Modeling and Computationally Intensive Statistical Methods written by . This book was released on 2011-08-14. Available in PDF, EPUB and Kindle. Book excerpt:

Advances in Complex Data Modeling and Computational Methods in Statistics

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Release : 2014-11-04
Genre : Mathematics
Kind : eBook
Book Rating : 493/5 ( reviews)

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Book Synopsis Advances in Complex Data Modeling and Computational Methods in Statistics by : Anna Maria Paganoni

Download or read book Advances in Complex Data Modeling and Computational Methods in Statistics written by Anna Maria Paganoni. This book was released on 2014-11-04. Available in PDF, EPUB and Kindle. Book excerpt: 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.

S. Co. 2009. Sixth Conference. Complex Data Modeling and Computationally Intensive Statistical Methods for Estimation and Prediction

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Release : 2009
Genre : Business & Economics
Kind : eBook
Book Rating : 851/5 ( reviews)

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Book Synopsis S. Co. 2009. Sixth Conference. Complex Data Modeling and Computationally Intensive Statistical Methods for Estimation and Prediction by :

Download or read book S. Co. 2009. Sixth Conference. Complex Data Modeling and Computationally Intensive Statistical Methods for Estimation and Prediction written by . This book was released on 2009. Available in PDF, EPUB and Kindle. Book excerpt:

Complex Models and Computational Methods in Statistics

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Release : 2013-01-26
Genre : Mathematics
Kind : eBook
Book Rating : 71X/5 ( reviews)

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Book Synopsis Complex Models and Computational Methods in Statistics by : Matteo Grigoletto

Download or read book Complex Models and Computational Methods in Statistics written by Matteo Grigoletto. This book was released on 2013-01-26. Available in PDF, EPUB and Kindle. Book excerpt: The use of computational methods in statistics to face complex problems and highly dimensional data, as well as the widespread availability of computer technology, is no news. The range of applications, instead, is unprecedented. As often occurs, new and complex data types require new strategies, demanding for the development of novel statistical methods and suggesting stimulating mathematical problems. This book is addressed to researchers working at the forefront of the statistical analysis of complex systems and using computationally intensive statistical methods.

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