
file  approximateInference.cpp [code] 

file  approximateInference.h [code] 
 This file contains general methods for approximate inference.


file  BayesNetInference.cpp [code] 

file  BayesNetInference.h [code] 
 This file contains abstract class definitions for Bayesian networks inference classes.


file  BayesNetInference_tpl.h [code] 
 Implementation of the non pure virtual methods of class BayesNetInference.


file  estimator.cpp [code] 

file  estimator.h [code] 
 This file contains estimating tools for approximate inference.


file  estimator_tpl.h [code] 
 Implementation of Estimator for approximate inference in bayesian networks.


file  evidenceInference.cpp [code] 

file  evidenceInference.h [code] 
 This file contains the abstract class definition for computing the probability of evidence entered in Bayesian networks.


file  evidenceInference_tpl.h [code] 
 Implementation of the non pure virtual methods of class JointTargetedInference.


file  gibbsOperator.cpp [code] 

file  gibbsOperator.h [code] 
 This file contains Gibbs sampling (for BNs) class definitions.


file  gibbsOperator_tpl.h [code] 
 Implementation of Gibbs inference methods in Bayesian Networks.


file  jointTargetedInference.cpp [code] 

file  jointTargetedInference.h [code] 
 This file contains the abstract inference class definition for computing (incrementally) joint posteriors.


file  jointTargetedInference_tpl.h [code] 
 Implementation of the non pure virtual methods of class JointTargetedInference.


file  marginalTargetedInference.cpp [code] 

file  marginalTargetedInference.h [code] 
 This file contains the abstract inference class definition for computing (incrementally) marginal posteriors.


file  marginalTargetedInference_tpl.h [code] 
 Implementation of the generic class for the computation of (possibly incrementally) marginal posteriors.


file  relevantPotentialsFinder.cpp [code] 

file  relevantPotentialsFinderType.cpp [code] 
 Class to include at least once this header.


file  relevantPotentialsFinderType.h [code] 
 the type of algorithm to use to perform relevant reasoning in Bayes net inference


file  samplingInference.cpp [code] 

file  samplingInference.h [code] 
 This file contains general methods for simulationoriented approximate inference.


file  samplingInference_tpl.h [code] 
 Implementation of the non pure virtual methods of class ApproximateInference.

