Bayesian Networks (eBook)

An Introduction

Timo Koski, John Noble (Autoren)

eBook Download: EPUB

2011 | 1. Auflage
366 Seiten
Wiley (Verlag)
978-1-119-96495-7 (ISBN)

Infos

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.

Autor

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.

Rezensionen

"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)

Produkt-Details

• Erscheint lt. Verlag: 26.8.2011
• Reihe/Serie: Wiley Series in Probability and Statistics
• Reihe/Serie: Wiley Series in Probability and Statistics
• Sprache: englisch
• Themenwelt: Mathematik / Informatik ► Mathematik ► Statistik
• Themenwelt: Mathematik / Informatik ► Mathematik ► Wahrscheinlichkeit / Kombinatorik
• Themenwelt: Technik
• Schlagworte: Angewandte Wahrscheinlichkeitsrechnung u. Statistik • Applied Probability & Statistics • Bayesian analysis • Bayessche Netzwerke • Bayessches Verfahren • Bayes-Verfahren • Computational & Graphical Statistics • Computer Science • Computer Science - General Interest • Informatik • Populäre Themen i. d. Informatik • Populäre Themen i. d. Informatik • Rechnergestützte u. graphische Statistik • Rechnergestützte u. graphische Statistik • Statistics • Statistik
• ISBN-10: 1-119-96495-4 / 1119964954
• ISBN-13: 978-1-119-96495-7 / 9781119964957