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Synopsis
Bayesian Networks: An Introduction provides a self-contained introduction to the theory and applications of Bayesian networks, a topic of interest and importance for statisticians, computer scientists and those involved in modelling complex data sets. The material has been extensively tested in classroom teaching and assumes a basic knowledge of probability, statistics and mathematics. All notions are carefully explained and feature exercises throughout.
Features include:
- An introduction to Dirichlet...
About the Author
Timo Koski, Professor of Mathematical Statistics, Department of Mathematics, Royal Institute of Technology, Stockholm, Sweden.
John M. Noble, Department of Mathematics, University of Linköping, Sweden.
Review
"It assumes only a basic knowledge of probability, statistics and mathematics and is well suited for classroom teaching . . . Each chapter of the book is concluded with short notes on the literature and a set of helpful exercises." (Mathematical Reviews, 2011)
"Extensively tested in classroom teaching ... .The authors clearly define all concepts and provide numerous examples and exercises." (Book News, December 2009)
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- PublisherWiley
- Publication date2009
- ISBN 10 0470743042
- ISBN 13 9780470743041
- BindingHardcover
- LanguageEnglish
- Edition number1
- Number of pages368
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Bayesian Networks An Introduction
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