July 2021
Intermediate to advanced
274 pages
6h 50m
English
directed, 205
undirected, 205
Bayesian network (BN), 107
causal, 145–148
CPDAG, 108–110
inference, see inference
learning, 117–121
parameters, see parameter learning
structure, see structure learning
skeleton, 206
conditional independence test, 123–126
G2, see cond. indep. test mutual information
t test for correlation, 48–51, 124, 126–127, 161
log-likelihood ratio, see cond. indep. test mutual information
mutual information, 15, 123, 161, 176–177
correlation, 211
covariance matrix, see covariance
cycle, 207
d-separation, 20–22, 25, 40–41, 52, 59, 106
distribution
Bernoulli, 213
chi-square (χ2), 15 ...
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