Package jdistlib.inference

Class GaussianSparseCoefficientProposal

java.lang.Object

jdistlib.inference.GaussianSparseCoefficientProposal

All Implemented Interfaces:

SparseCoefficientProposal

public final class GaussianSparseCoefficientProposal
extends Object
implements SparseCoefficientProposal

Independent Gaussian sparse-coefficient birth proposal.

Constructor Summary

Constructors

Constructor	Description
GaussianSparseCoefficientProposal(double mean, double standardDeviation)

Method Summary

Modifier and Type	Method	Description
double	logDensity(double value, int candidate, SparseSubsetState state)
double	sample(int candidate, SparseSubsetState state, RandomEngine random)

Methods inherited from class java.lang.Object

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

Constructor Details

GaussianSparseCoefficientProposal

public GaussianSparseCoefficientProposal(double mean,
 double standardDeviation)

Method Details

sample

public double sample(int candidate,
 SparseSubsetState state,
 RandomEngine random)

Specified by:

sample in interface SparseCoefficientProposal

logDensity

public double logDensity(double value,
 int candidate,
 SparseSubsetState state)

Specified by:

logDensity in interface SparseCoefficientProposal