Bayesian Networks An Introduction

Koski, Timo & John Noble

ISBN 10: 0470743042 / ISBN 13: 9780470743041

Editore: Wiley, 2009

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A tight and clean copy. Interior pages clean and unmarked. Photos upon request. International shipping billed at cost.; Large 8vo 9" - 10" tall; 368 pages.

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Dati bibliografici

• Titolo: Bayesian Networks An Introduction
• Editore: Wiley
• Data di pubblicazione: 2009
• Lingua: Inglese
• ISBN 10: 0470743042
• ISBN 13: 9780470743041
• Rilegatura: Hardcover
• Edizione: First Edition Thus.
• Condizione: Very Good+
• Condizione della sovraccoperta: No Dust Jacket As Issued
• Cataloghi dei venditori:
  • Education
  • Mathematics
  • Computers & Internet

Descrizione articolo

Riassunto

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.

Informazioni sull?autore

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.