



Bayesian NetworksAn Introduction
Author(s): Timo Koski, John Noble
Format: Hardback
Publisher: John Wiley & Sons Inc, United States
Imprint: John Wiley & Sons Inc
ISBN-13: 9780470743041, 978-0470743041
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 an.
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Bayesian NetworksAn Introduction
Author(s): Timo Koski, John Noble
Format: Hardback
Publisher: John Wiley & Sons Inc, United States
Imprint: John Wiley & Sons Inc
ISBN-13: 9780470743041, 978-0470743041
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 an.
Price now:
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To
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Bayesian NetworksAn Introduction
Author(s): Timo Koski, John Noble
Format: Hardback
Publisher: John Wiley & Sons Inc, United States
Imprint: John Wiley & Sons Inc
ISBN-13: 9780470743041, 978-0470743041
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 an.
General | |
|---|---|
format | hardcover |
Language | english |
series | wiley series in probability and statistics ser. |
type | textbook |
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