Package org.drip.measure.bayesian
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.
- Module = Computational Core Module
- Library = Numerical Analysis Library
- Project = Rd Continuous/Discrete Probability Measures
- Package = Prior, Conditional, Posterior Theil Bayesian
- Author:
- Lakshmi Krishnamurthy
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Constructor Summary
Constructors Constructor Description R1MultivariateConvolutionMetrics(MetaRdDistribution r1mPrior, MetaRdDistribution r1mUnconditional, MetaRdDistribution r1mConditional, MetaRdDistribution r1mJoint, MetaRdDistribution r1mPosterior)R1MultivariateConvolutionMetrics Constructor -
Method Summary
Modifier and Type Method Description MetaRdDistributionconditional()Retrieve the Conditional DistributionMetaRdDistributionjoint()Retrieve the Joint DistributionMetaRdDistributionposterior()Retrieve the Posterior DistributionMetaRdDistributionprior()Retrieve the Prior DistributionMetaRdDistributionunconditional()Retrieve the Unconditional DistributionMethods inherited from class java.lang.Object
equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
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Constructor Details
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R1MultivariateConvolutionMetrics
public R1MultivariateConvolutionMetrics(MetaRdDistribution r1mPrior, MetaRdDistribution r1mUnconditional, MetaRdDistribution r1mConditional, MetaRdDistribution r1mJoint, MetaRdDistribution r1mPosterior) throws java.lang.ExceptionR1MultivariateConvolutionMetrics 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
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Method Details
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prior
Retrieve the Prior Distribution- Returns:
- The Prior Distribution
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unconditional
Retrieve the Unconditional Distribution- Returns:
- The Unconditional Distribution
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conditional
Retrieve the Conditional Distribution- Returns:
- The Conditional Distribution
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joint
Retrieve the Joint Distribution- Returns:
- The Joint Distribution
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posterior
Retrieve the Posterior Distribution- Returns:
- The Posterior Distribution
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