Package jdistlib.inference

Interface ReversibleJumpWithinModelKernel

All Known Implementing Classes:

AdaptiveRjRandomWalkKernel, FixedDimensionSamplerRjKernel, ModelSpecificRjKernel

public interface ReversibleJumpWithinModelKernel

A fixed-model update scheduled between trans-dimensional proposals.

Method Summary

Modifier and Type	Method	Description
default Map<String,double[]>	adaptationState()
boolean	applicable(ReversibleJumpState state, ReversibleJumpTarget target)
default void	freezeAdaptation()
String	name()
default void	resetAdaptation()
default void	restoreAdaptation(Map<String,double[]> state)
ReversibleJumpWithinModelTransition	update(ReversibleJumpState state, double currentLogJoint, ReversibleJumpTarget target, RandomEngine random, boolean warmup)

Method Details

name

String name()

applicable

boolean applicable(ReversibleJumpState state,
 ReversibleJumpTarget target)

update

ReversibleJumpWithinModelTransition update(ReversibleJumpState state,
 double currentLogJoint,
 ReversibleJumpTarget target,
 RandomEngine random,
 boolean warmup)

adaptationState

default Map<String,double[]> adaptationState()

restoreAdaptation

default void restoreAdaptation(Map<String,double[]> state)

freezeAdaptation

default void freezeAdaptation()

resetAdaptation

default void resetAdaptation()