Overview
- Selected papers considering both methodological and applicative issues Analyzing several aspects of the following topics:
- The treatment of large administrative data with data integration and record linkage
- The analysis of genomic and microarray data
- The visualization and reduction of large data-sets
- The analysis of high frequency data in finance
- The analysis of social networks or complex time series databases
- The analysis of environmental data
Part of the book series: Studies in Theoretical and Applied Statistics (STAS)
Part of the book sub series: Selected Papers of the Statistical Societies (STASSPSS)
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Table of contents (43 papers)
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Clustering Large Data-Sets
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Integrating Administrative Data
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Outliers and Missing Data
Keywords
About this book
The theme of the meeting was “Statistical Methods for the Analysis of Large Data-Sets”. In recent years there has been increasing interest in this subject; in fact a huge quantity of information is often available but standard statistical techniques are usually not well suited to managing this kind of data. The conference serves as an important meeting point for European researchers working on this topic and a number of European statistical societies participated in the organization of the event.
The book includes 45 papers from a selection of the 156 papers accepted for presentation and discussed at the conference on “Advanced Statistical Methods for the Analysis of Large Data-sets.”
Editors and Affiliations
About the editors
Bibliographic Information
Book Title: Advanced Statistical Methods for the Analysis of Large Data-Sets
Editors: Agostino Di Ciaccio, Mauro Coli, Jose Miguel Angulo Ibanez
Series Title: Studies in Theoretical and Applied Statistics
DOI: https://doi.org/10.1007/978-3-642-21037-2
Publisher: Springer Berlin, Heidelberg
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer-Verlag GmbH, DE, part of Springer Nature 2012
Hardcover ISBN: 978-3-642-21036-5Published: 14 March 2012
Softcover ISBN: 978-3-642-44340-4Published: 16 April 2014
eBook ISBN: 978-3-642-21037-2Published: 05 March 2012
Series ISSN: 2194-7767
Series E-ISSN: 2194-7775
Edition Number: 1
Number of Pages: XIV, 486
Topics: Statistical Theory and Methods, Statistics and Computing/Statistics Programs, Statistics for Business, Management, Economics, Finance, Insurance