Package common

Examples of common.PoissonTuningDistribution

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    //define partition prior
    FragmentPartitionPrior fragPrior = new FragmentPartitionPrior(fragmentPenalty);
    //define tuning distribution
    RandomGenerator rg = new Well44497b();
    RandomDataImpl rng = new RandomDataImpl(rg);
    common.TuningDistribution tuningDistribution = new PoissonTuningDistribution(rng,poisson);
    //initial jumping weights
    double[] initJumpWeight = new double[n];
    java.util.Arrays.fill(initJumpWeight, 10);
    //------------------------------------------------------------------------------------
    SimpleMCMC mcmc = new SimpleMCMC(rng, data, initArrayPartition,
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//    PartitionPrior partitionPrior = new DistPartitionPrior(locs,3,fragmentPenalty,sizePenalty);
    PartitionPrior fragPrior = new FragmentPartitionPrior(fragmentPenalty);
    //define tuning distribution
    RandomGenerator rg = new Well44497b();
    RandomDataImpl rng = new RandomDataImpl(rg);
    TuningDistribution tuningDistribution = new PoissonTuningDistribution(rng,1);
    //initial jumping weights
    double[] initJumpWeight = new double[n];
    java.util.Arrays.fill(initJumpWeight, 10);
    double variance = 0.1;
    double varianceRatio = 0.01;
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    //define partition prior
    FragmentPartitionPrior fragPrior = new FragmentPartitionPrior(fragmentPenalty);
    //define tuning distribution
    RandomGenerator rg = new Well44497b();
    RandomDataImpl rng = new RandomDataImpl(rg);
    common.TuningDistribution tuningDistribution = new PoissonTuningDistribution(rng,poisson);
    //initial jumping weights
    double[] initJumpWeight = new double[n];
    java.util.Arrays.fill(initJumpWeight, 10);
    //------------------------------------------------------------------------------------
    MCMC mcmc = new MCMC(rng, data, initArrayPartition,
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    //define partition prior
    FragmentPartitionPrior fragPrior = new FragmentPartitionPrior(fragmentPenalty);
    //define tuning distribution
    RandomGenerator rg = new Well44497b();
    RandomDataImpl rng = new RandomDataImpl(rg);
    common.TuningDistribution tuningDistribution = new PoissonTuningDistribution(rng,poisson);
    //initial jumping weights
    double[] initJumpWeight = new double[n];
    java.util.Arrays.fill(initJumpWeight, 10);
    //------------------------------------------------------------------------------------
    SimpleMCMC mcmc = new SimpleMCMC(rng, data, initArrayPartition,
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Related Classes of common.PoissonTuningDistribution

  • complex1.RunMCMC
  • normal1.RunSimpleMCMC
  • normal2.RunMCMC
  • normal2.RunSimpleMCMC
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