Uses of Package
org.drip.measure.continuous
| Package | Description |
|---|---|
| org.drip.dynamics.process |
Ito-Dynamics Based Stochastic Process
|
| org.drip.execution.bayesian |
Bayesian Price Based Optimal Execution
|
| org.drip.execution.discrete |
Trajectory Slice Execution Cost Distribution
|
| org.drip.graph.mst |
Agnostic Minimum Spanning Tree Properties
|
| org.drip.learning.kernel |
Statistical Learning Banach Mercer Kernels
|
| org.drip.learning.regularization |
Statistical Learning Empirical Loss Regularizer
|
| org.drip.learning.rxtor1 |
Statistical Learning Empirical Loss Penalizer
|
| org.drip.measure.bayesian |
Prior, Conditional, Posterior Theil Bayesian
|
| org.drip.measure.chisquare |
Chi-Square Distribution Implementation/Properties
|
| org.drip.measure.continuous |
R1 Rd Continuous Random Measure
|
| org.drip.measure.discrete |
Antithetic, Quadratically Re-sampled, De-biased Distribution
|
| org.drip.measure.exponential |
R1 Exponential Distribution Implementation/Properties
|
| org.drip.measure.gamma |
R1 Gamma Distribution Implementation/Properties
|
| org.drip.measure.gaussian |
R1 Rd Covariant Gaussian Quadrature
|
| org.drip.measure.lebesgue |
Uniform Piece-wise Lebesgue Measure
|
| org.drip.measure.transform |
Expressing one Measure Using Another
|
| org.drip.oms.indifference |
Reservation Price Good-deal Bounds
|
| org.drip.portfolioconstruction.asset |
Asset Characteristics, Bounds, Portfolio Benchmarks
|
| org.drip.sequence.functional |
Efron Stein Functional Supremum Bounds
|
| org.drip.sequence.metrics |
Sequence Bounds Agnostic Metrics Estimators
|
| org.drip.sequence.random |
Correlated Multi-Factor Sequence Generator
|
| org.drip.spaces.metric |
Hilbert/Banach Normed Metric Spaces
|
| org.drip.validation.distance |
Hypothesis Target Distance Test Builders
|
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Classes in org.drip.measure.continuous used by org.drip.dynamics.process Class Description R1Univariate R1Univariate exposes the Base Abstract Class behind Univariate R1 Distributions. -
Classes in org.drip.measure.continuous used by org.drip.execution.bayesian Class Description R1Univariate R1Univariate exposes the Base Abstract Class behind Univariate R1 Distributions. -
Classes in org.drip.measure.continuous used by org.drip.execution.discrete Class Description R1Univariate R1Univariate exposes the Base Abstract Class behind Univariate R1 Distributions. -
Classes in org.drip.measure.continuous used by org.drip.graph.mst Class Description R1Univariate R1Univariate exposes the Base Abstract Class behind Univariate R1 Distributions. -
Classes in org.drip.measure.continuous used by org.drip.learning.kernel Class Description Rd Rd implements the Base Abstract Class behind Rd Distributions. -
Classes in org.drip.measure.continuous used by org.drip.learning.regularization Class Description R1R1 R1R1 implements the Base Abstract Class behind Bivariate R1 Distributions.RdR1 RdR1 implements the Base Abstract Class behind Rd X R1 Distributions. -
Classes in org.drip.measure.continuous used by org.drip.learning.rxtor1 Class Description R1R1 R1R1 implements the Base Abstract Class behind Bivariate R1 Distributions.RdR1 RdR1 implements the Base Abstract Class behind Rd X R1 Distributions. -
Classes in org.drip.measure.continuous used by org.drip.measure.bayesian Class Description MultivariateMeta MultivariateMeta holds a Group of Variable Names - each of which separately is a Valid Single R1/Rd Variable.R1Multivariate R1Multivariate contains the Generalized R1 Multivariate Distributions.R1Univariate R1Univariate exposes the Base Abstract Class behind Univariate R1 Distributions. -
Classes in org.drip.measure.continuous used by org.drip.measure.chisquare Class Description R1Univariate R1Univariate exposes the Base Abstract Class behind Univariate R1 Distributions. -
Classes in org.drip.measure.continuous used by org.drip.measure.continuous Class Description MultivariateMeta MultivariateMeta holds a Group of Variable Names - each of which separately is a Valid Single R1/Rd Variable.R1Univariate R1Univariate exposes the Base Abstract Class behind Univariate R1 Distributions.R1UnivariateUniform R1UnivariateUniform implements the Univariate R1 Uniform Distribution. -
Classes in org.drip.measure.continuous used by org.drip.measure.discrete Class Description R1Univariate R1Univariate exposes the Base Abstract Class behind Univariate R1 Distributions. -
Classes in org.drip.measure.continuous used by org.drip.measure.exponential Class Description R1Univariate R1Univariate exposes the Base Abstract Class behind Univariate R1 Distributions. -
Classes in org.drip.measure.continuous used by org.drip.measure.gamma Class Description R1Univariate R1Univariate exposes the Base Abstract Class behind Univariate R1 Distributions. -
Classes in org.drip.measure.continuous used by org.drip.measure.gaussian Class Description MultivariateMeta MultivariateMeta holds a Group of Variable Names - each of which separately is a Valid Single R1/Rd Variable.R1Multivariate R1Multivariate contains the Generalized R1 Multivariate Distributions.R1Univariate R1Univariate exposes the Base Abstract Class behind Univariate R1 Distributions. -
Classes in org.drip.measure.continuous used by org.drip.measure.lebesgue Class Description R1Univariate R1Univariate exposes the Base Abstract Class behind Univariate R1 Distributions.Rd Rd implements the Base Abstract Class behind Rd Distributions. -
Classes in org.drip.measure.continuous used by org.drip.measure.transform Class Description R1ParetoDistribution R1ParetoDistribution implements the R1 Pareto Distribution.R1Univariate R1Univariate exposes the Base Abstract Class behind Univariate R1 Distributions. -
Classes in org.drip.measure.continuous used by org.drip.oms.indifference Class Description R1Univariate R1Univariate exposes the Base Abstract Class behind Univariate R1 Distributions. -
Classes in org.drip.measure.continuous used by org.drip.portfolioconstruction.asset Class Description MultivariateMeta MultivariateMeta holds a Group of Variable Names - each of which separately is a Valid Single R1/Rd Variable. -
Classes in org.drip.measure.continuous used by org.drip.sequence.functional Class Description R1Univariate R1Univariate exposes the Base Abstract Class behind Univariate R1 Distributions. -
Classes in org.drip.measure.continuous used by org.drip.sequence.metrics Class Description R1Univariate R1Univariate exposes the Base Abstract Class behind Univariate R1 Distributions. -
Classes in org.drip.measure.continuous used by org.drip.sequence.random Class Description R1Univariate R1Univariate exposes the Base Abstract Class behind Univariate R1 Distributions. -
Classes in org.drip.measure.continuous used by org.drip.spaces.metric Class Description R1Univariate R1Univariate exposes the Base Abstract Class behind Univariate R1 Distributions.Rd Rd implements the Base Abstract Class behind Rd Distributions. -
Classes in org.drip.measure.continuous used by org.drip.validation.distance Class Description R1Univariate R1Univariate exposes the Base Abstract Class behind Univariate R1 Distributions.