© 1993

Computational Aspects of Model Choice

  • Jaromír Antoch
Conference proceedings

Part of the Contributions to Statistics book series (CONTRIB.STAT.)

Table of contents

  1. Front Matter
    Pages I-VII
  2. Jaromír Antoch
    Pages 1-5
  3. Jaromír Antoch
    Pages 7-10
  4. Jaromír Antoch, Marie Hušková
    Pages 11-37
  5. Jaromír Antoch, Jan Ámos Víšek
    Pages 39-104
  6. Václav Dupač
    Pages 153-161
  7. Gerhard Hommel, Gudrun Bernhard
    Pages 211-235

About these proceedings


Although no-one is, probably, too enthused about the idea, it is a fact that the development of most empirical sciences to a great extend depends of the development of data analysis methods and techniques, which, due to the necessity of applications of computers for that pur­ pose, actually means that it practically depends on the advancements and orientation of computational statistics. This volume contains complete texts of the lectures held during the Summer School on "Computational Aspects of Model Choice" orga­ nized jointly by Charles University, Prague, and International Associa­ tion for Statistical Computing (IASC) on July 1-14, 1991, in Prague. Main aims of the Summer School were to review and analyse some of the recent developments concerning computational aspects of the model choice as well as their theoretical background. The topics covers the problems of the change point detection, robust estimation and its computational aspects, classification using binary trees, stochastic ap­ proximation and optimization including the discussion about available software, computational aspects of graphical model selection and mul­ tiple hypotheses testing. The bridge between these different approaches is formed by the survey paper about statistical applications of artificial intelligence.


Hypothese Statistical Computing Stochastic Approximation optimization stochastic optimization

Editors and affiliations

  • Jaromír Antoch
    • 1
  1. 1.Department of Mathematical Statistics and ProbabilityCharles UniversityPrague 8CSFR

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