io.improbable.keanu.distributions.discrete

Class Poisson

java.lang.Object

io.improbable.keanu.distributions.discrete.Poisson

All Implemented Interfaces:

DiscreteDistribution, Distribution<IntegerTensor>

public class Poisson
extends java.lang.Object
implements DiscreteDistribution

Computer Generation of Statistical Distributions by Richard Saucier ARL-TR-2168 March 2000 5.2.8 page 49

Method Summary

Modifier and Type	Method and Description
DoubleTensor	logProb(IntegerTensor k)
static DoubleVertex	logProbOutput(LogProbGraph.IntegerPlaceholderVertex k, LogProbGraph.DoublePlaceholderVertex mu)
IntegerTensor	sample(long[] shape, KeanuRandom random)
static DiscreteDistribution	withParameters(DoubleTensor mu)

Methods inherited from class java.lang.Object

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

Method Detail

withParameters

public static DiscreteDistribution withParameters(DoubleTensor mu)

sample

public IntegerTensor sample(long[] shape,
                            KeanuRandom random)

Specified by:

sample in interface Distribution<IntegerTensor>

logProb

public DoubleTensor logProb(IntegerTensor k)

Specified by:

logProb in interface Distribution<IntegerTensor>

logProbOutput

public static DoubleVertex logProbOutput(LogProbGraph.IntegerPlaceholderVertex k,
                                         LogProbGraph.DoublePlaceholderVertex mu)