Package jdistlib.inference

Class GibbsSampler

java.lang.Object

jdistlib.inference.GibbsSampler

All Implemented Interfaces:

Sampler

public final class GibbsSampler
extends Object
implements Sampler

Composes exact, adaptive-rejection, Metropolis, or blocked Gibbs kernels.

Constructor Summary

Constructors

Constructor	Description
GibbsSampler(GibbsKernel... kernels)

Method Summary

Modifier and Type	Method	Description
ChainResult	sample(LogDensity target, double[] initialState, SamplingOptions options, RandomEngine random)

Methods inherited from class java.lang.Object

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

Constructor Details

GibbsSampler

public GibbsSampler(GibbsKernel... kernels)

Method Details

sample

public ChainResult sample(LogDensity target,
 double[] initialState,
 SamplingOptions options,
 RandomEngine random)

Specified by:

sample in interface Sampler