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; }