Package dev.nm.stat.random.rng.multivariate.mcmc.proposalfunction

Class HybridMCMCProposalFunction

java.lang.Object

dev.nm.analysis.function.rn2rm.AbstractRealVectorFunction

dev.nm.stat.random.rng.multivariate.mcmc.proposalfunction.ProposalFunction

dev.nm.stat.random.rng.multivariate.mcmc.proposalfunction.GaussianProposalFunction

dev.nm.stat.random.rng.multivariate.mcmc.proposalfunction.HybridMCMCProposalFunction

All Implemented Interfaces:

Function<Vector,Vector>, RealVectorFunction

public class HybridMCMCProposalFunction
extends GaussianProposalFunction

Nested Class Summary

Nested classes/interfaces inherited from interface dev.nm.analysis.function.Function

Function.EvaluationException

Constructor Summary

Constructors

Constructor	Description
HybridMCMCProposalFunction(Vector m, RandomLongGenerator uniform)	Constructs a hybrid MC proposal function.

Method Summary

Modifier and Type	Method	Description
Vector	evaluate(Vector x)	Evaluate the function f at x, where x is from the domain.

Methods inherited from class dev.nm.analysis.function.rn2rm.AbstractRealVectorFunction

dimensionOfDomain, dimensionOfRange

Methods inherited from class java.lang.Object

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

Constructor Details

HybridMCMCProposalFunction

public HybridMCMCProposalFunction(Vector m,
 RandomLongGenerator uniform)

Constructs a hybrid MC proposal function.

Parameters:

m - the mass of the individual components

uniform - a uniform random number generator to be used

Method Details

evaluate

public Vector evaluate(Vector x)

Description copied from interface: Function

Evaluate the function f at x, where x is from the domain.

Specified by:

evaluate in interface Function<Vector,Vector>

Overrides:

evaluate in class GaussianProposalFunction

Parameters:

x - x

Returns:

f(x)