Uses of Class
de.jstacs.sampling.AbstractBurnInTest

Packages that use AbstractBurnInTest

de.jstacs.models.hmm.training	The package provides all classes used to determine the training algorithm of a hidden Markov model
de.jstacs.sampling	This package contains many classes that can be used while a sampling.

Uses of AbstractBurnInTest in de.jstacs.models.hmm.training

Methods in de.jstacs.models.hmm.training that return AbstractBurnInTest

AbstractBurnInTest

SamplingHMMTrainingParameterSet.getBurnInTest() This method return the burn in test to be used during sampling.

Uses of AbstractBurnInTest in de.jstacs.sampling

Subclasses of AbstractBurnInTest in de.jstacs.sampling

class

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).

Methods in de.jstacs.sampling that return AbstractBurnInTest

AbstractBurnInTest

AbstractBurnInTest.clone()

Constructor parameters in de.jstacs.sampling with type arguments of type AbstractBurnInTest

AbstractBurnInTestParameterSet(Class<? extends AbstractBurnInTest> instanceClass)
Creates a new AbstractBurnInTestParameterSet with empty parameter values.

AbstractBurnInTestParameterSet(Class<? extends AbstractBurnInTest> instanceClass, int starts)
Creates a new AbstractBurnInTestParameterSet with pre-defined parameter values.