B C I M N P R S T V

B

BNGibbsSampler - Class in <Unnamed>

An implementation of the Gibbs Sampling Stochastic Simulation method for estimating Bayesian Network probabilities with/without evidence.

BNGibbsSampler() - Constructor for class BNGibbsSampler

BNNode - Class in <Unnamed>

A representation of a Bayesian network node.

BNNode() - Constructor for class BNNode

C

children - Variable in class BNNode

array of node children (possibly empty)

computeChildren() - Static method in class BNNode

Compute the children from the parents.

cpt - Variable in class BNNode

conditional probability table indexed by the binary number formed by concatenating Boolean bits from parent values (ordered by parents array), that is: parents[0].value?1:0 * 2^(p-1) + parents[1].value?1:0 * 2^(p-2) + ...

cptLookup() - Method in class BNNode

Returns Conditional Probability Table (CPT) entry (probability of current variable being true) corresponding to current parent node values.

I

isEvidence - Variable in class BNNode

whether or not node is an evidence node

iterations - Static variable in class BNGibbsSampler

total iterations; each non-evidence variable is updated in each iteration

M

main(String[]) - Static method in class BNGibbsSampler

Initialize parameters, parse input, display BN information, and perform Gibbs sampling.

N

name - Variable in class BNNode

node variable name

nodes - Static variable in class BNNode

list of all BNNodes

P

parents - Variable in class BNNode

array of node parents (possibly empty)

printBN() - Static method in class BNNode

Print all information about the BN.

R

reportFrequency - Static variable in class BNGibbsSampler

iteration frequency of progress reports

S

simulate() - Static method in class BNGibbsSampler

Perform Stochastic Simulation as described in Section 4.4.3 of Pearl, Judea.

T

toString() - Method in class BNNode

Return String representation of node.

V

value - Variable in class BNNode

node variable value

B C I M N P R S T V