Uses of Class
org.drip.measure.gaussian.JointVariance
| Package | Description |
|---|---|
| org.drip.dynamics.ito |
Ito Stochastic Process Dynamics Foundation
|
| org.drip.measure.bayesian |
Prior, Conditional, Posterior Theil Bayesian
|
| org.drip.measure.gaussian |
R1 Rd Covariant Gaussian Quadrature
|
| org.drip.portfolioconstruction.bayesian |
Black Litterman Bayesian Portfolio Construction
|
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Uses of JointVariance in org.drip.dynamics.ito
Methods in org.drip.dynamics.ito that return JointVariance Modifier and Type Method Description JointVarianceRdWienerDriver. correlation()Retrieve the CorrelationConstructors in org.drip.dynamics.ito with parameters of type JointVariance Constructor Description RdWienerDriver(double timeWidth, JointVariance correlation)RdWienerDriver Constructor -
Uses of JointVariance in org.drip.measure.bayesian
Methods in org.drip.measure.bayesian that return JointVariance Modifier and Type Method Description static JointVarianceTheilMixedEstimationModel. ProjectionSpaceScopingCovariance(ScopingContainer scopingContainer, java.lang.String viewName)Generate the Projection Space Scoping Co-variance -
Uses of JointVariance in org.drip.measure.gaussian
Methods in org.drip.measure.gaussian that return JointVariance Modifier and Type Method Description JointVarianceR1MultivariateNormal. covariance()Compute the Co-variance of the DistributionConstructors in org.drip.measure.gaussian with parameters of type JointVariance Constructor Description R1MultivariateNormal(LabelledRd metaRd, double[] meanArray, JointVariance jointVariance)R1MultivariateNormal Constructor -
Uses of JointVariance in org.drip.portfolioconstruction.bayesian
Methods in org.drip.portfolioconstruction.bayesian that return JointVariance Modifier and Type Method Description static JointVarianceMeucciViewUncertaintyParameterization. ProjectionCovariance(double[][] scopingCovarianceMatrix, double alphaArray)Generate the Projection Co-variance from the Scoping Co-variance and the Meucci Alpha Parameter