Examples of bt.BayesianTest

This is an open source implementation of the Bayesian statistical test of conditional independence (Margaritis, 2005). The Bayesian statistical test of conditional independence is a nonparametric statistical analyzing method that can be used to assess the probability of association or independence of facts. In contrast with the well-known Chi-square ($\chi^2$) test, the Bayesian statistical test works by comparing two competing statistical models: an independence model and a dependence model, which are obtained by computing the posterior probability of each model on data. This source code follows the pseudocode of the technical report "An Open Source Implementation Of The Bayesian Statistical Test Of Independence" , (Schl\"uter and Edera, 2013). @author fschluter

      List<Integer> y = new ArrayList<Integer>();
      y.add(1);
      List<Integer> z = new ArrayList<Integer>();
      z.add(2);
      z.add(3);
      BayesianTest bt = new BayesianTest();
      bt.independent(dataset, x, y, z);
      System.out.println("loglikelihoods: " + bt.getLoglikelihoods()[0] + " , " + bt.getLoglikelihoods()[1]);
      System.out.println("logprobs  : " + bt.getLogProbs()[0] + " , " + bt.getLogProbs()[1]);
    } catch (IOException e) {
      e.printStackTrace();
    }
  }

Examples of bt.BayesianTest

Related Classes of bt.BayesianTest