Package InfoCollection

Examples of InfoCollection.SamplingRule

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   * intersection.
   */
  public static boolean test3() {
    NormalTruth truth = NormalTruth.SlippageExample();
    Belief b = new Belief(truth.SamplingPrecision());
    SamplingRule p1, p2;
    p1 = new LL1Simple(b);
    // passing 1 to the variance-known version turns on error checking.
    p2 = new InfoCollection.IndependentNormalVarianceKnown.KG(1);
    int numDisagreements = 0;
    try {
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    // and precision 2 on its value.  Each alternative has a
    // sampling precision of 0.5.
    Belief prior = new Belief(5,0,2,0.5);

    // Use knowledge gradient for our sampling allocation rule.
    SamplingRule alloc = new KG(prior);

    // Use a fixed stopping rule, that stops after 20 measurements.
    // More sophisticated stopping rules may also be used.
    // A simulation sampling rule is a combination of allocation
    // and stopping rule.
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Related Classes of InfoCollection.SamplingRule

  • example
  • InfoCollection.IndependentNormalVarianceUnknown.LL1Simple
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