probability

  1. ExpectedRiskValue

    This class defines the expected rate value based of a risk.

    laishidua
  2. HMM

    This algorithm let you generate a sequence of observations from an HMM.

    EHadoux
  3. discreteDistribution

    This algorithm let you draw from a discrete probability distribution.

    EHadoux
  4. meanturns

    Return the expected number of turns to witness at least P% of a uniformly distributed set of N items.

    progtiem
1-4 of 4
  1. discreteDistribution

    This algorithm let you draw from a discrete probability distribution.

    EHadoux
  2. HMM

    This algorithm let you generate a sequence of observations from an HMM.

    EHadoux
  3. meanturns

    Return the expected number of turns to witness at least P% of a uniformly distributed set of N items.

    progtiem
  4. ExpectedRiskValue

    This class defines the expected rate value based of a risk.

    laishidua
1-4 of 4
  1. ExpectedRiskValue

    This class defines the expected rate value based of a risk.

    laishidua
  2. HMM

    This algorithm let you generate a sequence of observations from an HMM.

    EHadoux
  3. discreteDistribution

    This algorithm let you draw from a discrete probability distribution.

    EHadoux
  4. meanturns

    Return the expected number of turns to witness at least P% of a uniformly distributed set of N items.

    progtiem
1-4 of 4