Package | Description |
---|---|
org.drip.measure.bayesian | |
org.drip.measure.continuousjoint | |
org.drip.measure.gaussian | |
org.drip.portfolioconstruction.asset |
Modifier and Type | Method and Description |
---|---|
static ProjectionDistributionLoading |
ProjectionDistributionLoading.FromConfidence(MultivariateMeta meta,
double[] adblMean,
double[][] aadblScopingCovariance,
double[][] aadblScopingLoading,
double dblTau)
Generate the ProjectionDistributionLoading Instance from the Confidence Level
|
static JointPosteriorMetrics |
TheilMixedEstimationModel.GenerateComposite(MultivariateMeta meta,
ProjectionDistributionLoading pdl1,
ProjectionDistributionLoading pdl2,
R1MultivariateNormal r1mnUnconditional)
Generate the Joint Mixed Estimation Model Joint/Posterior Metrics
|
Modifier and Type | Method and Description |
---|---|
MultivariateMeta |
R1Multivariate.meta()
Retrieve the Multivariate Meta Instance
|
Modifier and Type | Method and Description |
---|---|
static R1MultivariateNormal |
R1MultivariateNormal.Standard(MultivariateMeta meta,
double[] adblMean,
double[][] aadblCovariance)
Construct a Standard R1MultivariateNormal Instance
|
Constructor and Description |
---|
R1MultivariateNormal(MultivariateMeta meta,
double[] adblMean,
Covariance covariance)
R1MultivariateNormal Constructor
|
Modifier and Type | Method and Description |
---|---|
MultivariateMeta |
Portfolio.meta()
Retrieve the Multivariate Meta Instance around the Assets
|