Uses of Class
org.drip.measure.gaussian.Covariance
| 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 Covariance in org.drip.dynamics.ito
Methods in org.drip.dynamics.ito that return Covariance Modifier and Type Method Description CovarianceRdWienerDriver. correlation()Retrieve the CorrelationConstructors in org.drip.dynamics.ito with parameters of type Covariance Constructor Description RdWienerDriver(double timeWidth, Covariance correlation)RdWienerDriver Constructor -
Uses of Covariance in org.drip.measure.bayesian
Methods in org.drip.measure.bayesian that return Covariance Modifier and Type Method Description static CovarianceTheilMixedEstimationModel. ProjectionSpaceScopingCovariance(ScopingProjectionVariateDistribution spvd, java.lang.String strProjection)Generate the Projection Space Scoping Co-variance -
Uses of Covariance in org.drip.measure.gaussian
Methods in org.drip.measure.gaussian that return Covariance Modifier and Type Method Description CovarianceR1MultivariateNormal. covariance()Compute the Co-variance of the DistributionConstructors in org.drip.measure.gaussian with parameters of type Covariance Constructor Description R1MultivariateNormal(MultivariateMeta meta, double[] adblMean, Covariance covariance)R1MultivariateNormal Constructor -
Uses of Covariance in org.drip.portfolioconstruction.bayesian
Methods in org.drip.portfolioconstruction.bayesian that return Covariance Modifier and Type Method Description static CovarianceMeucciViewUncertaintyParameterization. ProjectionCovariance(double[][] scopingCovarianceMatrix, double alphaArray)Generate the Projection Co-variance from the Scoping Co-variance and the Meucci Alpha Parameter