Chain event graphs (Record no. 211928)

000 -LEADER
fixed length control field aam a22 4500
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 190429b 2018 ||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781498729604
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 519.542
Item number C6C4
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Collazo, Rodrigo A.
9 (RLIN) 379141
245 ## - TITLE STATEMENT
Title Chain event graphs
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher, distributor, etc CRC Press
Date of publication, distribution, etc 2018
Place of publication, distribution, etc Florida
300 ## - PHYSICAL DESCRIPTION
Extent xx, 233p.
Other physical details With index
440 ## - SERIES STATEMENT/ADDED ENTRY--TITLE
Title Chapman and Hall/CRC computer science and data analysis series
9 (RLIN) 379147
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc Table of Contents

1.Introduction

2.Bayesian inference using graphs

3.The Chain Event Graph

4.Reasoning with a CEG

5.Estimation and propagation on a given CEG

6.Model selection for CEGs

7.How to model with a CEG: a real-world application

8.Causal inference using CEGs
520 ## - SUMMARY, ETC.
Summary, etc 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

https://www.crcpress.com/Chain-Event-Graphs/Collazo-Goergen-Smith/p/book/9781498729604
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Mathematical statistics--graphic methods
9 (RLIN) 379142
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Trees--graph theory
9 (RLIN) 379143
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Bayesian statistical decision theory
9 (RLIN) 379144
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Gorgen, Christiane
Relator term Co author
9 (RLIN) 379145
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Smith, Jim Q.
Relator term Co author
9 (RLIN) 379146
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Item type Books
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Permanent location Current location Shelving location Date acquired Source of acquisition Cost, normal purchase price Item location Full call number Barcode Date last seen Cost, replacement price Koha item type
          Non-fiction Vikram Sarabhai Library Vikram Sarabhai Library General Stacks 2019-04-26 13 5.00 Slot 1675 (2 Floor, East Wing) 519.542 C6C4 199224 2019-04-26 6977.84 Books

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