Class R1MultivariateConvolutionMetrics

java.lang.Object
org.drip.measure.bayesian.R1MultivariateConvolutionMetrics

public class R1MultivariateConvolutionMetrics
extends java.lang.Object
R1MultivariateConvolutionMetrics holds the Inputs and the Results of a Bayesian Multivariate Convolution Execution.

Author:
Lakshmi Krishnamurthy
  • Constructor Details

    • R1MultivariateConvolutionMetrics

      public R1MultivariateConvolutionMetrics​(MetaRdDistribution r1mPrior, MetaRdDistribution r1mUnconditional, MetaRdDistribution r1mConditional, MetaRdDistribution r1mJoint, MetaRdDistribution r1mPosterior) throws java.lang.Exception
      R1MultivariateConvolutionMetrics Constructor
      Parameters:
      r1mPrior - The R^1 Multivariate Prior Distribution (Input)
      r1mUnconditional - The R^1 Multivariate Unconditional Distribution (Input)
      r1mConditional - The R^1 Multivariate Conditional Distribution (Input)
      r1mJoint - The R^1 Multivariate Joint Distribution (Output)
      r1mPosterior - The R^1 Multivariate Posterior Distribution (Output)
      Throws:
      java.lang.Exception - Thrown if the Inputs are Invalid
  • Method Details

    • prior

      public MetaRdDistribution prior()
      Retrieve the Prior Distribution
      Returns:
      The Prior Distribution
    • unconditional

      public MetaRdDistribution unconditional()
      Retrieve the Unconditional Distribution
      Returns:
      The Unconditional Distribution
    • conditional

      public MetaRdDistribution conditional()
      Retrieve the Conditional Distribution
      Returns:
      The Conditional Distribution
    • joint

      public MetaRdDistribution joint()
      Retrieve the Joint Distribution
      Returns:
      The Joint Distribution
    • posterior

      public MetaRdDistribution posterior()
      Retrieve the Posterior Distribution
      Returns:
      The Posterior Distribution