Chain Event Graphs (Chapman & Hall/CRC Computer Science & Data Analysis)

Chain Event Graphs (Chapman & Hall/CRC Computer Science & Data Analysis)

By 作者: Rodrigo A. Collazo – Christiane Goergen – Jim Q. Smith

ISBN-10 书号: 1498729606
ISBN-13 书号: 9781498729604
Edition 版本: 1
Release Finelybook 出版日期: 2018-01-31
pages 页数: 254

$89.95

Symbols and abbreviations
Chapter 1.Introduction
Chapter 2.Bayesian inference using graphs
Chapter 3.The Chain Event Graph
Chapter 4.Reasoning with a CEG
Chapter 5.Estimation and propagation on a given CEG
Chapter 6.Model selection for CEGs
Chapter 7.How to model with a CEG:A real-world application
Chapter 8.Causal inference using CEGs
References
Index

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


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