Bayesian Networks: An Introduction (Wiley Series in Probability and Statistics) |  | Authors: Timo Koski, John Noble
Publisher: Wiley
List Price: $95.00
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Sales Rank: 202212
Media: Hardcover
Pages: 366
Number Of Items: 1
Shipping Weight (lbs): 1.6
Dimensions (in): 9.8 x 6.7 x 1
ISBN: 0470743042
Dewey Decimal Number: 519.542
EAN: 9780470743041
ASIN: 0470743042
Publication Date: November 23, 2009 (New: This Week)
Availability: Usually ships in 1-2 business days
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Product Description
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.
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