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COMPSTAT 2008

Proceedings in Computational Statistics

  • Conference proceedings
  • © 2008

Overview

Editors:
  1. Paula Brito

    1. Faculdade de Economia, Porto, Portugal

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Table of contents (44 papers)

  1. Front Matter

    Pages I-XVII
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  3. Advances on Statistical Computing Environments

    1. Front Matter

      Pages 19-19
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    2. Back to the Future: Lisp as a Base for a Statistical Computing System

      • Ross Ihaka, Duncan Temple Lang
      Pages 21-33

    3. Computable Statistical Research and Practice

      • Anthony Rossini
      Pages 35-42

    4. Implicit and Explicit Parallel Computing in R

      • Luke Tierney
      Pages 43-51

  4. Classification and Clustering of Complex Data

    1. Front Matter

      Pages 53-53
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    2. Probabilistic Modeling for Symbolic Data

      • Hans-Hermann Bock
      Pages 55-65

    3. Monothetic Divisive Clustering with Geographical Constraints

      • Marie Chavent, Yves Lechevallier, Françoise Vernier, Kevin Petit
      Pages 67-76

    4. Comparing Histogram Data Using a Mahalanobis–Wasserstein Distance

      • Rosanna Verde, Antonio Irpino
      Pages 77-89

  5. Computation for Graphical Models and Bayes Nets

    1. Front Matter

      Pages 91-91
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    2. Iterative Conditional Fitting for Discrete Chain Graph Models

      • Mathias Drton
      Pages 93-104

    3. Graphical Models for Sparse Data: Graphical Gaussian Models with Vertex and Edge Symmetries

      • Søren Højsgaard
      Pages 105-116

    4. Parameterization and Fitting of a Class of Discrete Graphical Models

      • Giovanni M. Marchetti, Monia Lupparelli
      Pages 117-128

  6. Computational Econometrics

    1. Front Matter

      Pages 129-129
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    2. Exploring the Bootstrap Discrepancy

      • Russell Davidson
      Pages 131-142

    3. On Diagnostic Checking Time Series Models with Portmanteau Test Statistics Based on Generalized Inverses and

      • Pierre Duchesne, Christian Francq
      Pages 143-154

    4. New Developments in Latent Variable Models: Non-linear and Dynamic Models

      • Irini Moustaki
      Pages 155-164

  7. Computational Statistics and Data Mining Methods for Alcohol Studies

    1. Front Matter

      Pages 165-165
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Keywords

Editors and Affiliations

  • Faculdade de Economia, Porto, Portugal

    Paula Brito

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