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Advances in Complex Data Modeling and Computational Methods in Statistics. 2015 ed..
・ISBN 978-3-319-11148-3 hard EUR 49.99
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| 著者・編者 | Paganoni, Anna Maria / Secchi, Piercesare (eds.), |
|---|---|
| シリーズ | Contributions to Statistics |
| 出版社 | (Springer International Publishing AG, SZ) |
| 出版年月 | 2014 |
| ページ数 | 209 pp. |
| 言語 | ENG |
| ニュース番号 | <M25-19970> |
解説
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.