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Advances in complex data modeling an...

Paganoni, Anna Maria.

Advances in complex data modeling and computational methods in statistics

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Advances in complex data modeling and computational methods in statisticsedited by Anna Maria Paganoni, Piercesare Secchi.
其他作者:	Paganoni, Anna Maria.
出版者:	Cham :Springer International Publishing :2015.
面頁冊數:	viii, 209 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer eBooks
標題:	Mathematical statisticsData processing.
電子資源:	http://dx.doi.org/10.1007/978-3-319-11149-0
ISBN:	9783319111490 (electronic bk.)

Advances in complex data modeling and computational methods in statistics
Advances in complex data modeling and computational methods in statistics[electronic resource] /edited by Anna Maria Paganoni, Piercesare Secchi. - Cham :Springer International Publishing :2015. - viii, 209 p. :ill. (some col.), digital ;24 cm. - Contributions to statistics,1431-1968. - Contributions to statistics..

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.

ISBN: 9783319111490 (electronic bk.)

Standard No.: 10.1007/978-3-319-11149-0doiSubjects--Topical Terms:

183916
Mathematical statistics
--Data processing.

LC Class. No.: QA276.4 / .A38 2015

Dewey Class. No.: 519.5

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