"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.
General
Imprint: |
John Wiley & Sons
|
Country of origin: |
United States |
Release date: |
September 2009 |
First published: |
November 2009 |
Authors: |
J Noble
|
Dimensions: |
252 x 175 x 24mm (L x W x T) |
Format: |
Hardcover
|
Pages: |
341 |
ISBN-13: |
978-0-470-74304-1 |
Categories: |
Books >
Science & Mathematics >
Mathematics >
Probability & statistics
|
LSN: |
0-470-74304-2 |
Barcode: |
9780470743041 |
Is the information for this product incomplete, wrong or inappropriate?
Let us know about it.
Does this product have an incorrect or missing image?
Send us a new image.
Is this product missing categories?
Add more categories.
Review This Product
No reviews yet - be the first to create one!