TY  - BOOK
AU  - Koski,Timo
AU  - Noble,John M.
TI  - Bayesian networks: an introduction 
T2  - Wiley series in probability and statistics
SN  - 9780470684030
AV  - QA279.5 .K68 2009eb
U1  - 519.5/42 22
PY  - 2009///
CY  - Chichester, West Sussex, UK
PB  - John Wiley
KW  - Bayesian statistical decision theory
KW  - Neural networks (Computer science)
KW  - Mathematics
KW  - Electronic books
N1  - Includes bibliographical references (pages 355-341) and index; Graphical models and probabilistic reasoning -- Conditional independence, graphs, and d-separation -- Evidence, sufficiency and Monte Carlo methods -- Decomposable graphs and chain graphs -- Learning the conditional probability potentials -- Learning the graph structure -- Parameters and sensitivity -- Graphical models and exponential families -- Causality and intervention calculus -- The junction tree and probability updating -- Factor graphs and the sum product algorithm
N2  - 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 learni
UR  - https://eresourcesptsl.ukm.remotexs.co/user/login?url=http://onlinelibrary.wiley.com/book/10.1002/9780470684023
ER  -