gov.sandia.cognition.statistics.bayesian

Class ConditionalProbability<DataType>

java.lang.Object

gov.sandia.cognition.statistics.bayesian.ConditionalProbability<DataType>

Type Parameters:

DataType - The data type of the elements.

@PublicationReference(author="Wikipedia",
                      title="Conditional Probability",
                      type=WebPage,
                      year=2014,
                      url="http://en.wikipedia.org/wiki/Conditional_probability")
public class ConditionalProbability<DataType>
extends java.lang.Object

A class for finding the conditional probability of two elements, or one element and a collection of other elements.

Since:

3.4.2

Author:

trbroun

Constructor Summary

Constructors

Constructor and Description
ConditionalProbability() Constructor for new Conditional Probability object.

Method Summary

Modifier and Type	Method and Description
double	computeConditionalProbability(java.util.Collection<DataType> prior, DataType posterior, ComputableDistribution<java.util.Collection<DataType>> priorDistribution, ComputableDistribution<java.util.Collection<DataType>> posteriorDistribution) Computes the conditional probability between a collection of objects and a new object.
double	computeConditionalProbability(DataType prior, DataType posterior, ComputableDistribution<DataType> priorDistribution, ComputableDistribution<java.util.Collection<DataType>> posteriorDistribution) Computes the conditional probability between two objects.
double	computeConditionalProbabilityWhenDataTypeHasHistoricalData(DataType prior, DataType posterior, ComputableDistribution<DataType> priorDistribution, ComputableDistribution<DataType> posteriorDistribution) Computes the conditional probability between two objects.

Methods inherited from class java.lang.Object

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

Constructor Detail

ConditionalProbability

public ConditionalProbability()

Constructor for new Conditional Probability object.

Method Detail

computeConditionalProbability

public double computeConditionalProbability(java.util.Collection<DataType> prior,
                                            DataType posterior,
                                            ComputableDistribution<java.util.Collection<DataType>> priorDistribution,
                                            ComputableDistribution<java.util.Collection<DataType>> posteriorDistribution)

Computes the conditional probability between a collection of objects and a new object.

Parameters:

prior - The collection of objects that's conditioned on. If conditional probability is thought of as "A given B", this is the B.

posterior - The new object; finding its probability given the prior. This is the "A" in the conditional probability definition.

priorDistribution - The distribution which the prior is over.

posteriorDistribution - The distribution which the posterior is over. If the prior contains n elements, this is a distribution over collections of size n+1

Returns:

The double representing the conditional probability.

computeConditionalProbability

public double computeConditionalProbability(DataType prior,
                                            DataType posterior,
                                            ComputableDistribution<DataType> priorDistribution,
                                            ComputableDistribution<java.util.Collection<DataType>> posteriorDistribution)

Computes the conditional probability between two objects.

Parameters:

prior - The object that's conditioning the posterior. If conditional probability is thought of as "A given B", this is the B.

posterior - The object whose probability is based off the prior. This is the "A" in the conditional probability definition.

priorDistribution - A distribution for the objects.

posteriorDistribution - A distribution for all pairs of objects.

Returns:

The double representing the conditional probability.

computeConditionalProbabilityWhenDataTypeHasHistoricalData

public double computeConditionalProbabilityWhenDataTypeHasHistoricalData(DataType prior,
                                                                         DataType posterior,
                                                                         ComputableDistribution<DataType> priorDistribution,
                                                                         ComputableDistribution<DataType> posteriorDistribution)

Computes the conditional probability between two objects. This is used when the data type contains the historical data.

Parameters:

prior - The object that's conditioning the posterior. If conditional probability is thought of as "A given B", this is the B.

posterior - The object whose probability is based off the prior. This is the "A" in the conditional probability definition.

priorDistribution - A distribution for the objects.

posteriorDistribution - A distribution for all pairs of objects.

Returns:

The double representing the conditional probability.