Bayesian Networks: An Introduction

Koski, Timo; Noble, John

ISBN 10: 0470743042 / ISBN 13: 9780470743041

Published by Wiley, 2009

About this Item

2009.Hardcover.Very good condition.347 pages.Ships from Japan.Usually ships in 1-2 working days.

Seller Inventory # 43969

Bibliographic Details

• Title: Bayesian Networks: An Introduction
• Publisher: Wiley
• Publication Date: 2009
• Language: English
• ISBN 10: 0470743042
• ISBN 13: 9780470743041
• Binding: Hardcover
• Edition: 1st Edition
• Condition: Very Good
• Dimensions: 2.55W x 17.65H x 25.4D centimeters 2.55 centimeters width by 17.65 centimeters height by 25.4 centimeters depth
• Weight: 695 grams

About this title

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 Distribution, Exponential Families and their applications.
• A detailed description of learning algorithms and Conditional Gaussian Distributions using Junction Tree methods.
• A discussion of Pearl's intervention calculus, with an introduction to the notion of see and do conditioning.
• All concepts are clearly defined and illustrated with examples and exercises. Solutions are provided online.

This book will prove a valuable resource for postgraduate students of statistics, computer engineering, mathematics, data mining, artificial intelligence, and biology.

Researchers and users of comparable modelling or statistical techniques such as neural networks will also find this book of interest.

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.