Bayesian Networks : An Introduction
Timo. Koski
Bok Engelsk 2009 · Electronic books.
| Annen tittel | |
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| Medvirkende | |
| Utgitt | Hoboken : : Wiley, , 2009.
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| Omfang | 1 online resource (368 p.)
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| Utgave | .
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| Opplysninger | Description based upon print version of record.. - Bayesian Networks; Contents; Preface; 1 Graphical models and probabilistic reasoning; 2 Conditional independence, graphs and d-separation; 3 Evidence, sufficiency and Monte Carlo methods; 4 Decomposable graphs and chain graphs; 5 Learning the conditional probability potentials; 6 Learning the graph structure; 7 Parameters and sensitivity; 8 Graphical models and exponential families; 9 Causality and intervention calculus; 10 The junction tree and probability updating; 11 Factor graphs and the sum product algorithm; References; Index. - 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.
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| Emner | |
| Sjanger | |
| Dewey | |
| ISBN | 9780470743041
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