edu.cmu.minorthird.classify.algorithms.random
Class Estimators

java.lang.Object
  edu.cmu.minorthird.classify.algorithms.random.Estimators

public class Estimators
extends java.lang.Object

Author:

Edoardo Airoldi Date: Dec 11, 2004

Constructor Summary

Estimators()

Method Summary

static Estimate	estimateBinomialMuDelta(double[] vCnt, double[] vWgt, double prior, double scale)
static Estimate	estimateBinomialPN(double[] vCnt, double[] vWgt, double prior, double scale)
static double	estimateMean(double[] wgt)
static Estimate	estimateNaiveBayesMean(double classPrior, double numberOfClasses, double observedCounts, double totalCounts)
static Estimate	estimateNaiveBayesWeightedMean(double[] vCnt, double[] vWgt, double prior, double scale)
static Estimate	estimateNegativeBinomialMuDelta(double[] vCnt, double[] vWgt, double prior, double scale)
static Estimate	estimatePoissonLambda(double classPrior, double numberOfClasses, double observedCounts, double totalCounts)
static Estimate	estimatePoissonWeightedLambda(double[] vCnt, double[] vWgt, double prior, double scale)
static double	estimateVar(double[] wgt)
static double	Max(double[] v)
static Estimate[]	mcmcEstimateDirichletPoissonTauSigma(Estimate[] lambdaEstimateVec, double[] vlow, double[] vup, double xr, double xp, double wr, double wp, double[] vbeta, double tauSD, double sigmaSD, int numIterations)
static double	Sum(double[] wgt)

Methods inherited from class java.lang.Object

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

Constructor Detail

Estimators

public Estimators()

Method Detail

estimateBinomialPN

public static Estimate estimateBinomialPN(double[] vCnt,
                                          double[] vWgt,
                                          double prior,
                                          double scale)

estimateBinomialMuDelta

public static Estimate estimateBinomialMuDelta(double[] vCnt,
                                               double[] vWgt,
                                               double prior,
                                               double scale)

estimateNegativeBinomialMuDelta

public static Estimate estimateNegativeBinomialMuDelta(double[] vCnt,
                                                       double[] vWgt,
                                                       double prior,
                                                       double scale)

estimatePoissonLambda

public static Estimate estimatePoissonLambda(double classPrior,
                                             double numberOfClasses,
                                             double observedCounts,
                                             double totalCounts)

estimatePoissonWeightedLambda

public static Estimate estimatePoissonWeightedLambda(double[] vCnt,
                                                     double[] vWgt,
                                                     double prior,
                                                     double scale)

estimateNaiveBayesMean

public static Estimate estimateNaiveBayesMean(double classPrior,
                                              double numberOfClasses,
                                              double observedCounts,
                                              double totalCounts)

estimateNaiveBayesWeightedMean

public static Estimate estimateNaiveBayesWeightedMean(double[] vCnt,
                                                      double[] vWgt,
                                                      double prior,
                                                      double scale)

mcmcEstimateDirichletPoissonTauSigma

public static Estimate[] mcmcEstimateDirichletPoissonTauSigma(Estimate[] lambdaEstimateVec,
                                                              double[] vlow,
                                                              double[] vup,
                                                              double xr,
                                                              double xp,
                                                              double wr,
                                                              double wp,
                                                              double[] vbeta,
                                                              double tauSD,
                                                              double sigmaSD,
                                                              int numIterations)

estimateMean

public static double estimateMean(double[] wgt)

estimateVar

public static double estimateVar(double[] wgt)

Sum

public static double Sum(double[] wgt)

Max

public static double Max(double[] v)