Package edu.cmu.tetrad.bayes

Interface ManipulatingBayesUpdater

All Superinterfaces:

BayesUpdater, Serializable, TetradSerializable

All Known Implementing Classes:

ApproximateUpdater, CptInvariantUpdater, Identifiability, JunctionTreeUpdater, RowSummingExactUpdater

public interface ManipulatingBayesUpdater
extends BayesUpdater

Interface for a Bayes updating algorithm that's capable of doing manipulation. In general, manipulating a variable X will eliminate edges into X, so the updating operation on the manipulated model will produce different results.

Version:

$Id: $Id

Author:

josephramsey

Field Summary

Fields

Modifier and Type	Field	Description
static final long	serialVersionUID	Constant serialVersionUID=23L

Method Summary

Modifier and Type	Method	Description
Evidence	getEvidence()	Returns the manipulation that was used to manipulate the Bayes IM.
BayesIm	getManipulatedBayesIm()	Returns the manipulated Bayes IM.
Graph	getManipulatedGraph()	Returns the manipulated graph.
double	getMarginal(int variable, int category)	Returns the marginal probability of the given variable taking the given value, given the evidence.
BayesIm	getUpdatedBayesIm()	Returns the updated Bayes IM.
void	setEvidence(Evidence evidence)	Sets new evidence for the updater.

Methods inherited from interface edu.cmu.tetrad.bayes.BayesUpdater

calculatePriorMarginals, calculateUpdatedMarginals, getBayesIm, getJointMarginal, isJointMarginalSupported

Field Details

serialVersionUID

static final long serialVersionUID

Constant serialVersionUID=23L

See Also:

• Constant Field Values

Method Details

getManipulatedBayesIm

BayesIm getManipulatedBayesIm()

Returns the manipulated Bayes IM. This is the Bayes IM in which the variables in the manipulation have been removed from the graph.

Returns:

the Bayes instantiated model after manipulations have been applied.

getManipulatedGraph

Graph getManipulatedGraph()

Returns the manipulated graph. This is the graph in which the variables in the manipulation have been removed from the graph.

Returns:

the graph for the manipulated BayesIm.

getEvidence

Evidence getEvidence()

Returns the manipulation that was used to manipulate the Bayes IM.

Returns:

a defensive copy of the evidence.

setEvidence

void setEvidence(Evidence evidence)

Sets new evidence for the updater. Once this is called, old updating results should not longer be available.

Sets new evidence for the updater. Once this is called, old updating results should not longer be available.

Specified by:

setEvidence in interface BayesUpdater

Parameters:

evidence - evidence

getUpdatedBayesIm

BayesIm getUpdatedBayesIm()

Returns the updated Bayes IM. This is the Bayes IM in which all probabilities of variables conditional on their parents have been updated.

Returns:

the updated Bayes IM--that is, the Bayes IM in which all probabilities of variables conditional on their parents have been updated.

getMarginal

double getMarginal(int variable,
 int category)

Returns the marginal probability of the given variable taking the given value, given the evidence.

Returns the updated graph. This is the graph in which all probabilities of variables conditional on their parents have been updated.

Specified by:

getMarginal in interface BayesUpdater

Parameters:

variable - variable index

category - category index

Returns:

P(variable = value | evidence), where evidence is getEvidence().