public void update(BetaDistribution target, Number data) {
final int n = this.getN();
final int success = data.intValue();
final int failure = n - success;
double alpha = target.getAlpha();
double beta = target.getBeta();
alpha += success;
beta += failure;
target.setAlpha(alpha);
target.setBeta(beta);
}
public BetaBinomialDistribution createPredictiveDistribution(BetaDistribution posterior) {
return new BetaBinomialDistribution(this.getN(), posterior.getAlpha(), posterior.getBeta());
}
@Override
public double computeEquivalentSampleSize(BetaDistribution belief) {
double alpha = belief.getAlpha();
double beta = belief.getBeta();
return (alpha + beta) / this.getN() + 1.0;
}