Advanced Statistical Methods for the Analysis of Large Data-Sets [Paperback]

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.
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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.

Part I Clustering Large Data-Sets: Clustering Large Data Set: An Applied Comparative Study (Bocci L., Mingo I.).- Clustering in Feature Space for Interesting Pattern Identification of Categorical Data (Marino M., Palumbo F., Tortora C.).- Clustering geostatistical functional data (Romano E., Verde R.).-Joint Clustering and Alignment of Functional Data: An Application to Vascu-lar Geometries (Sangalli L.M., Secchi P., Vantini S., Vitelli V.).- Part II? Statistics in Medicine: Bayesian Methods for Time Course Microarray Analysis: From Genes Detection to Clustering (Angelini C., De Canditiis D., Pensky M.).- Longitudinal Analysis of Gene Expression Profiles Using Functional Mixed-effects Models (Berk M., Montana G., Levin M.,? Hemingway C.).- A Permutation Solution to Compare two Hepatocellular Carcinoma Markers (Zirilli A., Alibrandi A.).- Part III? Integrating Administrative Data: Statistical Perspective on Blocking Methods when Linking Large Data-Sets (Cibella N., Tuoto T.).- Integrating Households Income Microdata in the Estimate of the Italian GDP (Coli A., Tartamella F.).- The Employment Consequences of Globalization: Linking Data on Employers and Employees in the Netherlands (FlCÚ