Advances in Complex Data Modeling and Computational Methods in Statistics is popular PDF and ePub book, written by Anna Maria Paganoni in 2014-11-04, it is a fantastic choice for those who relish reading online the Mathematics genre. Let's immerse ourselves in this engaging Mathematics book by exploring the summary and details provided below. Remember, Advances in Complex Data Modeling and Computational Methods in Statistics can be Read Online from any device for your convenience.
Advances in Complex Data Modeling and Computational Methods in Statistics Book PDF Summary
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.
Detail Book of Advances in Complex Data Modeling and Computational Methods in Statistics PDF
- Author : Anna Maria Paganoni
- Release : 04 November 2014
- Publisher : Springer
- ISBN : 9783319111490
- Genre : Mathematics
- Total Page : 210 pages
- Language : English
- PDF File Size : 7,8 Mb
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