Data Analysis, Classification and the Forward Search

Proceedings of the Meeting of the Classification and Data Analysis Group (CLADAG) of the Italian Statistical Society, University of Parma, June 6–8, 2005

ISBN: 978-3-540-35977-7 (Print) 978-3-540-35978-4 (Online)

Table of contents (46 chapters)

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  1. Clustering and Discrimination

    1. Front Matter

      Pages 1-1

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      Pages 3-10

      Genetic Algorithms-based Approaches for Clustering Time Series

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      Pages 11-21

      On the Choice of the Kernel Function in Kernel Discriminant Analysis Using Information Complexity

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      Pages 23-30

      Growing Clustering Algorithms in Market Segmentation: Defining Target Groups and Related Marketing Communication

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      Pages 31-37

      Graphical Representation of Functional Clusters and MDS Configurations

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      Pages 39-48

      Estimation of the Structural Mean of a Sample of Curves by Dynamic Time Warping

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      Pages 49-57

      Sequential Decisional Discriminant Analysis

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      Pages 59-66

      Regularized Sliced Inverse Regression with Applications in Classification

  2. Multidimensional Data Analysis and Multivariate Statistics

    1. Front Matter

      Pages 67-67

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      Pages 69-76

      Approaches to Asymmetric Multidimensional Scaling with External Information

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      Pages 77-84

      Variable Architecture Bayesian Neural Networks: Model Selection Based on EMC

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      Pages 85-92

      Missing Data in Optimal Scaling

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      Pages 93-101

      Simple Component Analysis Based on RV Coefficient

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      Pages 103-110

      Baum-Eagon Inequality in Probabilistic Labeling Problems

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      Pages 111-118

      Monotone Constrained EM Algorithms for Multinormal Mixture Models

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      Pages 119-126

      Visualizing Dependence of Bootstrap Confidence Intervals for Methods Yielding Spatial Configurations

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      Pages 127-134

      Automatic Discount Selection for Exponential Family State-Space Models

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      Pages 135-142

      A Generalization of the Polychoric Correlation Coefficient

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      Pages 143-152

      The Effects of MEP Distributed Random Effects on Variance Component Estimation in Multilevel Models

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      Pages 153-160

      Calibration Confidence Regions Using Empirical Likelihood

  3. Robust Methods and the Forward Search

    1. Front Matter

      Pages 161-161

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      Pages 163-171

      Random Start Forward Searches with Envelopes for Detecting Clusters in Multivariate Data

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      Pages 173-180

      Robust Transformation of Proportions Using the Forward Search

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