Computational Aspects of Model Choice

Jaromir Antoch

ISBN 10: 3790806528 / ISBN 13: 9783790806526

Published by Physica-Verlag HD, 1992

About this Item

nach der Bestellung gedruckt Neuware - Printed after ordering - 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. Seller Inventory # 9783790806526

Bibliographic Details

Title: Computational Aspects of Model Choice

Publisher: Physica-Verlag HD

Publication Date: 1992

Binding: Taschenbuch

Condition: Neu

About this title

Synopsis:

This volume contains complete texts of the lectures held during a Summer School on Computational Aspects of Model Choice, organized jointly by the International Association for Statistical Computing and Charles University, Prague. The main aims of the school were to review and analyze some of the recent developments concerning computational aspects of the model choice as well as their theoretical background. The topics cover problems of change point detection, robust estimating and its computational aspects, classification using binary trees, stochastic approximation and optimization, including a discussion about available software, computational aspects of graphical model selection and multiple hypotheses testing.