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Advanced Statistical Methods for the Analysis of Large Data-Sets

  • Conference proceedings
  • © 2012

Overview

Editors:
  1. Agostino Di Ciaccio

    1. , Dept. of Statistics, University of Roma "La Sapienza", Roma, Italy

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  2. Mauro Coli

    1. , Dip. di Metodi Quantitativi e Teoria Eco, University "G. d'Annunzio" of Chieti-Pes, Pescara, Italy

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  3. Jose Miguel Angulo Ibanez

    1. Fac. Ciencias, Depto. Estadística e Investigación Opera, Universidad de Granada, Granada, Spain

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  • 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)

  1. Front Matter

    Pages i-xiii
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  2. Clustering Large Data-Sets

    1. Front Matter

      Pages 1-1
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    2. Clustering Large Data Set: An Applied Comparative Study

      • Laura Bocci, Isabella Mingo
      Pages 3-12

    3. Clustering in Feature Space for Interesting Pattern Identification of Categorical Data

      • Marina Marino, Francesco Palumbo, Cristina Tortora
      Pages 13-22

    4. Clustering Geostatistical Functional Data

      • Elvira Romano, Rosanna Verde
      Pages 23-31

    5. Joint Clustering and Alignment of Functional Data: An Application to Vascular Geometries

      • Laura M. Sangalli, Piercesare Secchi, Simone Vantini, Valeria Vitelli
      Pages 33-43

  3. Statistics in Medicine

    1. Front Matter

      Pages 45-45
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    2. Bayesian Methods for Time Course Microarray Analysis: From Genes’ Detection to Clustering

      • Claudia Angelini, Daniela De Canditiis, Marianna Pensky
      Pages 47-56

    3. Longitudinal Analysis of Gene Expression Profiles Using Functional Mixed-Effects Models

      • Maurice Berk, Cheryl Hemingway, Michael Levin, Giovanni Montana
      Pages 57-67

    4. A Permutation Solution to Compare Two Hepatocellular Carcinoma Markers

      • Agata Zirilli, Angela Alibrandi
      Pages 69-78

  4. Integrating Administrative Data

    1. Front Matter

      Pages 79-79
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    2. Statistical Perspective on Blocking Methods When Linking Large Data-sets

      • Nicoletta Cibella, Tiziana Tuoto
      Pages 81-89

    3. Integrating Households Income Microdata in the Estimate of the Italian GDP

      • Alessandra Coli, Francesca Tartamella
      Pages 91-99

    4. The Employment Consequences of Globalization: Linking Data on Employers and Employees in the Netherlands

      • Fabienne Fortanier, Marjolein Korvorst, Martin Luppes
      Pages 101-111

    5. Applications of Bayesian Networks in Official Statistics

      • Paola Vicard, Mauro Scanu
      Pages 113-123

  5. Outliers and Missing Data

    1. Front Matter

      Pages 125-125
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    2. A Correlated Random Effects Model for Longitudinal Data with Non-ignorable Drop-Out: An Application to University Student Performance

      • Filippo Belloc, Antonello Maruotti, Lea Petrella
      Pages 127-136

    3. Risk Analysis Approaches to Rank Outliers in Trade Data

      • Vytis Kopustinskas, Spyros Arsenis
      Pages 137-144

    4. Problems and Challenges in the Analysis of Complex Data: Static and Dynamic Approaches

      • Marco Riani, Anthony Atkinson, Andrea Cerioli
      Pages 145-157

    5. Ensemble Support Vector Regression:A New Non-parametric Approach for Multiple Imputation

      • Daria Scacciatelli
      Pages 159-168
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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

  • , Dept. of Statistics, University of Roma "La Sapienza", Roma, Italy

    Agostino Di Ciaccio

  • , Dip. di Metodi Quantitativi e Teoria Eco, University "G. d'Annunzio" of Chieti-Pes, Pescara, Italy

    Mauro Coli

  • Fac. Ciencias, Depto. Estadística e Investigación Opera, Universidad de Granada, Granada, Spain

    Jose Miguel Angulo Ibanez

About the editors

Agostino Di Ciaccio and Mauro Coli are the former President of the Programme Committee and President of the Organizing Committee, respectively and were involved in the selection of the papers. Jose Miguel Angulo Ibañez is the Editor chosen from the Editorial Board of the Series and is President of the SEIO.

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