Package de.jstacs.sampling

This package contains many classes that can be used while a sampling.

See:
Description

Interface Summary

BurnInTest	This is the abstract super class for any test of the length of the burn-in phase.
GibbsSamplingModel	This is the interface that any AbstractTrainableStatisticalModel has to implement if it should be used in a sampling.
SamplingComponent	This interface defines methods that are used during a sampling.
SamplingFromStatistic	This is the interface for sampling based on a sufficient statistic.

Class Summary

AbstractBurnInTest	This abstract class implements some of the methods of BurnInTest to alleviate the implementation of efficient and new burn-in tests.
AbstractBurnInTestParameterSet	Class for the parameters of a AbstractBurnInTest.
SimpleBurnInTest	Deprecated. since this burn test ignore the data coming from the sampling, it might be problematic to use this test
VarianceRatioBurnInTest	In this class the Variance-Ratio method of Gelman and Rubin is implemented to test the length of the burn-in phase of a multi-chain Gibbs Sampling (number of chains >2).
VarianceRatioBurnInTestParameterSet	Class for the parameters of a VarianceRatioBurnInTest.

Package de.jstacs.sampling Description

This package contains many classes that can be used while a sampling. The most interesting items of this package are the BurnInTest and SamplingComponent.

See Also:

BurnInTest, SamplingComponent