bin_bn
Binary BN
Package |
Benchpress |
Version |
|
Language |
|
Docs |
|
Paper |
Rios et al.[1] |
Graph type |
|
Docker |
|
Module |
Description
An object of this module defines a binary Bayesian network (where the nodes are binary variables) by sampling its conditional probability tables. More specifically, the conditional probability tables for each variable \(Y_i\) and parent configuration \(pa(Y_i)\) are distributed as
\[P(Y_i=0 | pa(y_i) ) \sim \mathrm{Unif}([a, b]),\]
where \((a,b) \in [0,1]^2, a<b\) and \(\mathrm{Unif}(c)\) denotes the uniform distribution on the set \(c\).
Example
[
{
"id": "binbn",
"min": 0.1,
"max": 0.9
}
]