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

Book 21 of 36: Contributions to Statistics
 
9783319385372: Advances in Complex Data Modeling and Computational Methods in Statistics (Contributions to Statistics)
Softcover
ISBN 10: 3319385372 ISBN 13: 9783319385372
Publisher: Springer, 2016

Synopsis

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.

"synopsis" may belong to another edition of this title.

From the Back Cover

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.

"About this title" may belong to another edition of this title.

Publisher
Springer
Publication date
2016
Language
English
ISBN 10 
3319385372
ISBN 13 
9783319385372
Binding
Paperback
Number of pages
217
Editor
Paganoni Anna Maria, Secchi Piercesare

Other Popular Editions of the Same Title

9783319111483: Advances in Complex Data Modeling and Computational Methods in Statistics (Contributions to Statistics)

Featured Edition

ISBN 10:  3319111485 ISBN 13:  9783319111483
Publisher: Springer, 2014
Hardcover