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Bayesian Networks
book

Bayesian Networks

by Marco Scutari, Jean-Baptiste Denis
June 2014
Intermediate to advanced content levelIntermediate to advanced
241 pages
6h 20m
English
CRC Press
Content preview from Bayesian Networks
100 Bayesian Networks: With Examples in R
Algorithm 4.1 Inductive Causation Algorithm
1. For each pair of nodes A and B in V search for set S
AB
V such
that A and B are independent given S
AB
and A, B / S
AB
. If there
is no such a set, place an undirected arc between A and B.
2. For each pair of non-adjacent nodes A and B with a common neigh-
bour C, check whether C S
AB
. If this is not true, set the direction
of the arcs A C and C B to A C and C B.
3. Set the direction of arcs which are still undirected by applying re-
cursively the following two rules:
(a) if A is adjacent to B and there is a strictly directed path from
A to B then set the direction ...
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Publisher Resources

ISBN: 9781482225587