AIMA.Probability.Bayes.Approx.LikelihoodWeighting.likelihoodWeighting C# (CSharp) Method

        public CategoricalDistribution likelihoodWeighting(RandomVariable[] X,
                                                           AssignmentProposition[] e, BayesianNetwork bn, int N)
        {
            // local variables: W, a vector of weighted counts for each value of X,
            // initially zero
            double[] W = new double[ProbUtil
                .expectedSizeOfCategoricalDistribution(X)];

            // for j = 1 to N do
            for (int j = 0; j < N; j++)
            {
                // <b>x</b>,w <- WEIGHTED-SAMPLE(bn,e)
                Pair<Map<RandomVariable, Object>, Double> x_w = weightedSample(bn,
                                                                               e);
                // W[x] <- W[x] + w where x is the value of X in <b>x</b>
                W[ProbUtil.indexOf(X, x_w.getFirst())] += x_w.getSecond();
            }
            // return NORMALIZE(W)
            return new ProbabilityTable(W, X).normalize();
        }