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See:
Description
Interface Summary | |
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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 | |
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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 . |
This package contains many classes that can be used while a sampling. The most interesting items of this package are the BurnInTest and SamplingComponent.
BurnInTest
,
SamplingComponent
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