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Chain Event Graphs

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Chain Event Graphs Synopsis

Written by some major contributors to the development of this class of graphical models, Chain Event Graphs introduces a viable and straightforward new tool for statistical inference, model selection and learning techniques. The book extends established technologies used in the study of discrete Bayesian Networks so that they apply in a much more general setting

As the first book on Chain Event Graphs, this monograph is expected to become a landmark work on the use of event trees and coloured probability trees in statistics, and to lead to the increased use of such tree models to describe hypotheses about how events might unfold.

Features:

  • introduces a new and exciting discrete graphical model based on an event tree
  • focusses on illustrating inferential techniques, making its methodology accessible to a very broad audience and, most importantly, to practitioners
  • illustrated by a wide range of examples, encompassing important present and future applications
  • includes exercises to test comprehension and can easily be used as a course book
  • introduces relevant software packages

About This Edition

ISBN: 9780367572310
Publication date:
Author: Rodrigo Collazo, Christiane Görgen, J Q Smith
Publisher: CRC Press
Format: Paperback
Pagination: 234 pages
Series: Chapman & Hall/CRC Computer Science & Data Analysis
Genres: Probability and statistics
Automatic control engineering

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