public double calculateLogLikelihood() {
double logL = 0.0;
for (Attribute<double[]> data : dataList) {
double[] x = data.getAttributeValue();
if (transforms != null) {
double[] y = new double[x.length];
for (int i = 0; i < x.length; ++i) {
logL += transforms[i].getLogJacobian(x[i]);
y[i] = transforms[i].transform(x[i]);
}
logL += distribution.logPdf(y);
} else {
logL += distribution.logPdf(x);
}
}
return logL;
}
public MultivariateDistributionLikelihood(
MultivariateDistribution distribution, Transform[] transforms) {
this(distribution.getType(), distribution, transforms);
}
