com.mockturtlesolutions.snifflib.stats

Class BernoulliDistribution

java.lang.Object

com.mockturtlesolutions.snifflib.stats.ProbabilityDensity

com.mockturtlesolutions.snifflib.stats.BernoulliDistribution

All Implemented Interfaces:

NamedParameters, OptimizableScalar, CDF, InvCDF

public class BernoulliDistribution
extends ProbabilityDensity

Field Summary

Fields inherited from class com.mockturtlesolutions.snifflib.stats.ProbabilityDensity

GET_CDF, GET_ICDF, GET_PDF, rand

Constructor Summary

Constructors

Constructor and Description
BernoulliDistribution()
BernoulliDistribution(DblMatrix p)

Method Summary

Methods

Modifier and Type	Method and Description
DblMatrix	cdf(DblMatrix X)
DblMatrix	criticalValue(DblMatrix cdfvals)
DblMatrix	hasSupport(DblMatrix X) Returns 1 if the density has the input value in its support set (domain) and 0 otherwise.
DblMatrix	mean() Returns the expected value of the distribution for the currently configured parameters.
DblMatrix	median() Returns the median of the distribution for the currently configured parameters.
DblMatrix	mode() Returns the median of the distribution for the currently configured parameters.
DblMatrix	pdf(DblMatrix X)
DblMatrix	random(int nn) Return N random draws from this distribution.
void	setP(DblMatrix m)
void	setP(double m)
DblMatrix	variance() Returns the variance of the distribution for the currently configured parameters.

Methods inherited from class com.mockturtlesolutions.snifflib.stats.ProbabilityDensity

assumeProbability, getAssumedProbability, getName, getParam, getParams, getValueAt, getValueToGet, getValueToMinimize, getVariableValue, hasParameter, parameterSet, replaceParams, setName, setParam, setValueToGet, setVariableValue

Methods inherited from class java.lang.Object

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

Constructor Detail

BernoulliDistribution

public BernoulliDistribution()

BernoulliDistribution

public BernoulliDistribution(DblMatrix p)

Method Detail

setP

public void setP(DblMatrix m)

setP

public void setP(double m)

random

public DblMatrix random(int nn)

Description copied from class: ProbabilityDensity

Return N random draws from this distribution. This default implementation uses the inversion method which may give suboptimal results.

Overrides:

random in class ProbabilityDensity

variance

public DblMatrix variance()

Returns the variance of the distribution for the currently configured parameters.

mean

public DblMatrix mean()

Returns the expected value of the distribution for the currently configured parameters.

median

public DblMatrix median()

Returns the median of the distribution for the currently configured parameters.

mode

public DblMatrix mode()

Returns the median of the distribution for the currently configured parameters.

hasSupport

public DblMatrix hasSupport(DblMatrix X)

Description copied from class: ProbabilityDensity

Returns 1 if the density has the input value in its support set (domain) and 0 otherwise.

Specified by:

hasSupport in class ProbabilityDensity

criticalValue

public DblMatrix criticalValue(DblMatrix cdfvals)

Specified by:

criticalValue in interface InvCDF

Specified by:

criticalValue in class ProbabilityDensity

cdf

public DblMatrix cdf(DblMatrix X)

Specified by:

cdf in interface CDF

Specified by:

cdf in class ProbabilityDensity

pdf

public DblMatrix pdf(DblMatrix X)

Specified by:

pdf in class ProbabilityDensity