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

Libro 21 de 36: Contributions to Statistics
 
9783319385372: Advances in Complex Data Modeling and Computational Methods in Statistics (Contributions to Statistics)
Tapa blanda
ISBN 10: 3319385372 ISBN 13: 9783319385372
Editorial: Springer, 2016

Sinopsis

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.

"Sinopsis" puede pertenecer a otra edición de este libro.

De la contraportada

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.

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
Springer
Año de publicación
2016
Idioma
Inglés
ISBN 10 
3319385372
ISBN 13 
9783319385372
Encuadernación
Tapa blanda
Número de páginas
220
Editor
Paganoni Anna Maria, Secchi Piercesare
Contacto del fabricante
ProductSafety@springernature.com
ProductSafety@springernature.com

Poststr. 9
Darmstadt
64293
Alemania

Otras ediciones populares con el mismo título

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

Edición Destacada

ISBN 10:  3319111485 ISBN 13:  9783319111483
Editorial: Springer, 2014
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