Chain Event Graphs - Chapman & Hall/crc Computer Science and Data Analysis Series

About the author

Rodrigo A. Collazo is a methodological and computational statistician based at the Naval Systems Analysis Centre (CASNAV) in Rio de Janeiro, Brazil. Christiane Görgen is a mathematical statistician at the Max Planck Institute for Mathematics in the Sciences, Leipzig, Germany. Jim Q. Smith is a professor of statistics at the University of Warwick, UK. He has published widely in the field of statistics, AI, and decision analysis and has written two other books, most recently Bayesian Decision Analysis: Principles and Practice (Cambridge University Press 2010).

Summary

A chain event graph (CEG) is an important generalization of the Bayesian Network (BN). BNs have been extremely useful for modeling discrete processes. However, they are not appropriate for all applications. Over the past six years or so, teams of researchers led by Jim Smith have established a strong theoretical underpinning for CEGs. This book

Product details

• Authors: Rodrigo A. Collazo, Rodrigo A. (University of Warwick Collazo, Rodrigo A. Goergen Collazo, Christiane Goergen, Jim Q. Smith, Smith Jim Q.
• Publisher: Taylor & Francis Ltd.
• Languages: English
• Product format: Paperback / Softback
• Released: 30.06.2020
• EAN: 9780367572310
• ISBN: 978-0-367-57231-0
• No. of pages: 234
• Series: Chapman & Hall/CRC Computer Science & Data Analysis
• Subjects: Natural sciences, medicine, IT, technology > Mathematics > Probability theory, stochastic theory, mathematical statistics; machine learning, BUSINESS & ECONOMICS / Statistics, MATHEMATICS / Probability & Statistics / General, COMPUTERS / Machine Theory, MATHEMATICS / Probability & Statistics / Bayesian Analysis, Probability & statistics, Combinatorics & graph theory, Mathematical theory of computation, Automatic control engineering, Probability and statistics, Econometrics and economic statistics, Bayesian Inference, Combinatorics and graph theory