Package com.bayesserver.causal

Class FrontDoorInference

java.lang.Object

com.bayesserver.causal.CausalInferenceBase

com.bayesserver.causal.FrontDoorInference

All Implemented Interfaces:

Inference

public final class FrontDoorInference
extends CausalInferenceBase

Estimates the causal effect, using the 'Front-door Adjustment' formula to avoid confounding bias. For treatments (X) and outcomes (Y) this is denoted P(Y|Do(X)). The Total effect can be calulated. Multiple treatments, outcomes and unobserved nodes are supported as well as fixed evidence.

A list of suitable front-door sets can be identified using the FrontDoorCriterion class.

Constructor Summary

Constructors

Constructor	Description
FrontDoorInference(Network network)	Initializes a new instance of the FrontDoorInference class.

Method Summary

Modifier and Type	Method	Description
protected void	queryDistributionsInner(QueryOptions queryOptions, QueryOutput queryOutput)

Methods inherited from class com.bayesserver.causal.CausalInferenceBase

getBaseEvidence, getEvidence, getNetwork, getQueryDistributions, getQueryFunctions, getQueryLifecycle, query, setBaseEvidence, setEvidence, setNetwork, setQueryDistributions, setQueryFunctions, setQueryLifecycle

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

FrontDoorInference

public FrontDoorInference(Network network)

Initializes a new instance of the FrontDoorInference class.

Parameters:

network - The Bayesian network.

Method Detail

queryDistributionsInner

protected void queryDistributionsInner(QueryOptions queryOptions,
                                       QueryOutput queryOutput)
                                throws InconsistentEvidenceException

Specified by:

queryDistributionsInner in class CausalInferenceBase

Throws:

InconsistentEvidenceException