org.openimaj.math.statistics.distribution

Class AbstractMultivariateDistribution

java.lang.Object

org.openimaj.math.statistics.distribution.AbstractMultivariateDistribution

All Implemented Interfaces:

MultivariateDistribution

Direct Known Subclasses:

MixtureOfGaussians, MultivariateKernelDensityEstimate

public abstract class AbstractMultivariateDistribution
extends Object
implements MultivariateDistribution

A continuous multivariate distribution.

Author:

Jonathon Hare (jsh2@ecs.soton.ac.uk)

Constructor Summary

Constructors

Constructor and Description
AbstractMultivariateDistribution()

Method Summary

Modifier and Type	Method and Description
double	estimateLogProbability(double[] sample) Get the log probability for a given point in space relative to the PDF represented by this distribution.
double[][]	sample(int count, Random rng) Sample the distribution.

Methods inherited from class java.lang.Object

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

Methods inherited from interface org.openimaj.math.statistics.distribution.MultivariateDistribution

estimateLogProbability, estimateProbability, sample

Constructor Detail

AbstractMultivariateDistribution

public AbstractMultivariateDistribution()

Method Detail

sample

public double[][] sample(int count,
                         Random rng)

Description copied from interface: MultivariateDistribution

Sample the distribution.

Specified by:

sample in interface MultivariateDistribution

Parameters:

count - the number of samples to draw

rng - the random number generator

Returns:

a list of sample vectors from this distribution

estimateLogProbability

public double estimateLogProbability(double[] sample)

Description copied from interface: MultivariateDistribution

Get the log probability for a given point in space relative to the PDF represented by this distribution.

Specified by:

estimateLogProbability in interface MultivariateDistribution

Parameters:

sample - the point

Returns:

the log-probability