[100% OFF] Advances in Complex Data Modeling and Computational Methods in Statistics Books
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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.
Additional Information:
| Title | : Advances in Complex Data Modeling and Computational Methods in Statistics |
| Author | : Anna Maria Paganoni,Piercesare Secchi |
| Item ID | : H5svBQAAQBAJ |
| Publisher | : Springer |
| Type | : BOOK |
| Format File | : PDF & EPUB |
| Android/iOS | : Install “Google Play Books” |
| Page Count | : 209 |
| Category | : Mathematics |
| Published Date | : 2014-11-04 |
| Language | : en |
| Isbn 10 | : 3319111493 |
| Isbn 13 | : 9783319111490 |
| Sale Info | : FOR_SALE |
| Price | : 72.79 EUR |
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