Package edu.cmu.tetrad.bayes

Class MlBayesEstimator

java.lang.Object

edu.cmu.tetrad.bayes.MlBayesEstimator

public final class MlBayesEstimator
extends Object

Estimates parameters of the given Bayes net from the given data using maximum likelihood method.

Version:

$Id: $Id

Author:

Shane Harwood, Joseph Ramsey

Constructor Summary

Constructors

Constructor	Description
MlBayesEstimator(double prior)	Create an instance of MlBayesEstimator with the given prior.

Method Summary

Modifier and Type	Method	Description
BayesIm	estimate(BayesPm bayesPm, DataSet dataSet)	Estimates parameters of the given Bayes net from the given data using maximum likelihood method.

Methods inherited from class java.lang.Object

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

Constructor Details

MlBayesEstimator

public MlBayesEstimator(double prior)

Create an instance of MlBayesEstimator with the given prior.

Parameters:

prior - the prior value used in the ML estimation

Method Details

estimate

public BayesIm estimate(BayesPm bayesPm,
 DataSet dataSet)

Estimates parameters of the given Bayes net from the given data using maximum likelihood method.

Parameters:

bayesPm - The BayesPm object representing the Bayes net.

dataSet - The DataSet object containing the data.

Returns:

A BayesIm object representing the estimated Bayes Information Matrix (Bayes IM).

Throws:

NullPointerException - if either bayesPm or dataSet is null.