Class BoundedMultivariateRandom

java.lang.Object
org.drip.function.definition.RdToR1
org.drip.sequence.functional.MultivariateRandom
org.drip.sequence.functional.BoundedMultivariateRandom
Direct Known Subclasses:
EmpiricalPenaltySupremumEstimator, GlivenkoCantelliUniformDeviation, KernelDensityEstimationL1, LongestCommonSubsequence, OrientedPercolationFirstPassage

public abstract class BoundedMultivariateRandom
extends MultivariateRandom
BoundedMultivariateRandom contains the Implementation of the Bounded Objective Function dependent on Multivariate Random Variables.



Author:
Lakshmi Krishnamurthy
  • Constructor Details

    • BoundedMultivariateRandom

      public BoundedMultivariateRandom()
  • Method Details

    • targetVariateVarianceBound

      public abstract double targetVariateVarianceBound​(int iTargetVariateIndex) throws java.lang.Exception
      Retrieve the Maximal Agnostic Variance Bound over the Non-target Variate Space for the Target Variate
      Parameters:
      iTargetVariateIndex - The Index corresponding to the Variate on which the Bound is sought
      Returns:
      The Maximal Agnostic Bound over the Non-target Variate Space for the Target Variate
      Throws:
      java.lang.Exception - Thrown if the Inputs are invalid