Advanced Statistical Methods for the Analysis of Large Data-Sets

ISBN: 978-3-642-21036-5 (Print) 978-3-642-21037-2 (Online)

Table of contents (43 chapters)

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  1. Front Matter

    Pages i-xiii

  2. Clustering Large Data-Sets

    1. Front Matter

      Pages 1-1

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      Pages 3-12

      Clustering Large Data Set: An Applied Comparative Study

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      Pages 13-22

      Clustering in Feature Space for Interesting Pattern Identification of Categorical Data

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      Pages 23-31

      Clustering Geostatistical Functional Data

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      Pages 33-43

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

  3. Statistics in Medicine

    1. Front Matter

      Pages 45-45

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      Pages 47-56

      Bayesian Methods for Time Course Microarray Analysis: From Genes’ Detection to Clustering

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      Pages 57-67

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

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      Pages 69-78

      A Permutation Solution to Compare Two Hepatocellular Carcinoma Markers

  4. Integrating Administrative Data

    1. Front Matter

      Pages 79-79

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      Pages 81-89

      Statistical Perspective on Blocking Methods When Linking Large Data-sets

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      Pages 91-99

      Integrating Households Income Microdata in the Estimate of the Italian GDP

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      Pages 101-111

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

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      Pages 113-123

      Applications of Bayesian Networks in Official Statistics

  5. Outliers and Missing Data

    1. Front Matter

      Pages 125-125

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      Pages 127-136

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

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      Pages 137-144

      Risk Analysis Approaches to Rank Outliers in Trade Data

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      Pages 145-157

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

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      Pages 159-168

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

  6. Time Series Analysis

    1. Front Matter

      Pages 169-169

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      Book Chapter

      Pages 171-179

      On the Use of PLS Regression for Forecasting Large Sets of Cointegrated Time Series

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      Pages 181-192

      Large-Scale Portfolio Optimisation with Heuristics

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      Pages 193-204

      Detecting Short-Term Cycles in Complex Time Series Databases

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      Pages 205-215

      Assessing the Beneficial Effects of Economic Growth: The Harmonic Growth Index

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      Book Chapter

      Pages 217-226

      Time Series Convergence within I(2) Models: the Case of Weekly Long Term Bond Yields in the Four Largest Euro Area Countries

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