Advances in Complex Data Modeling and Computational Methods in Statistics

Nonfiction, Science & Nature, Mathematics, Applied, Statistics
Cover of the book Advances in Complex Data Modeling and Computational Methods in Statistics by , Springer International Publishing
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: ISBN: 9783319111490
Publisher: Springer International Publishing Publication: November 4, 2014
Imprint: Springer Language: English
Author:
ISBN: 9783319111490
Publisher: Springer International Publishing
Publication: November 4, 2014
Imprint: Springer
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

More books from Springer International Publishing

Cover of the book Advances in Human Factors in Wearable Technologies and Game Design by
Cover of the book Photons by
Cover of the book Cloud-Resolving Modeling of Convective Processes by
Cover of the book Carl Rückert's Memoirs of the Franco-Prussian War by
Cover of the book Subarachnoid Hemorrhage in Clinical Practice by
Cover of the book Paranoid Pedagogies by
Cover of the book Advanced Information Technology, Services and Systems by
Cover of the book Advances in Multimedia Information Processing - PCM 2016 by
Cover of the book X-Ray Lasers 2014 by
Cover of the book Web-Age Information Management by
Cover of the book The Quantum World by
Cover of the book Advances in Intelligent Process-Aware Information Systems by
Cover of the book Near-Death Experiences by
Cover of the book Medical Office Management by
Cover of the book The Price of Fixed Income Market Volatility by
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy