Advances in Complex Data Modeling and Computational Methods in 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 development...
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2015
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oai:scholar.dlu.edu.vn:DLU123456789-576922023-11-11T05:48:42Z Advances in Complex Data Modeling and Computational Methods in Statistics Paganoni, Anna Maria Secchi, Piercesare Mathematical statistics Data processing Mathematics Applied 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. 2015-08-20T09:59:14Z 2015-08-20T09:59:14Z 2015 Book 978-3-319-11149-0 https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/57692 en application/pdf Springer |
institution |
Thư viện Trường Đại học Đà Lạt |
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Thư viện số |
language |
English |
topic |
Mathematical statistics Data processing Mathematics Applied |
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Mathematical statistics Data processing Mathematics Applied Paganoni, Anna Maria Secchi, Piercesare Advances in Complex Data Modeling and Computational Methods in Statistics |
description |
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. |
format |
Book |
author |
Paganoni, Anna Maria Secchi, Piercesare |
author_facet |
Paganoni, Anna Maria Secchi, Piercesare |
author_sort |
Paganoni, Anna Maria |
title |
Advances in Complex Data Modeling and Computational Methods in Statistics |
title_short |
Advances in Complex Data Modeling and Computational Methods in Statistics |
title_full |
Advances in Complex Data Modeling and Computational Methods in Statistics |
title_fullStr |
Advances in Complex Data Modeling and Computational Methods in Statistics |
title_full_unstemmed |
Advances in Complex Data Modeling and Computational Methods in Statistics |
title_sort |
advances in complex data modeling and computational methods in statistics |
publisher |
Springer |
publishDate |
2015 |
url |
https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/57692 |
_version_ |
1782548714055794688 |