Uses of Class
org.drip.sequence.functional.BoundedMultivariateRandom

Packages that use BoundedMultivariateRandom

Package	Description
org.drip.learning.rxtor1	Statistical Learning Empirical Loss Penalizer
org.drip.sequence.custom	Glivenko Cantelli Supremum Deviation Bounds

Uses of BoundedMultivariateRandom in org.drip.learning.rxtor1

Subclasses of BoundedMultivariateRandom in org.drip.learning.rxtor1

Modifier and Type	Class	Description
class	EmpiricalPenaltySupremumEstimator	EmpiricalPenaltySupremumEstimator contains the Implementation of the Empirical Penalty Supremum Estimator dependent on Multivariate Random Variables where the Multivariate Function is a Linear Combination of Bounded Univariate Functions acting on each Random Variate.

Uses of BoundedMultivariateRandom in org.drip.sequence.custom

Subclasses of BoundedMultivariateRandom in org.drip.sequence.custom

Modifier and Type	Class	Description
class	GlivenkoCantelliUniformDeviation	GlivenkoCantelliUniformDeviation contains the Implementation of the Bounded Objective Function dependent on Multivariate Random Variables where the Multivariate Function is a Linear Combination of Bounded Univariate Functions acting on each Random Variate.
class	KernelDensityEstimationL1	KernelDensityEstimationL1 implements the L1 Error Scheme Estimation for a Multivariate Kernel Density Estimator with Focus on establishing targeted Variate-Specific and Agnostic Bounds.
class	LongestCommonSubsequence	LongestCommonSubsequence contains Variance Bounds on the Critical Measures of the Longest Common Subsequence between two Strings.
class	OrientedPercolationFirstPassage	OrientedPercolationFirstPassage contains Variance Bounds on the Critical Measures of the Standard Problem of First Passage Time in Oriented Percolation.

Methods in org.drip.sequence.custom that return BoundedMultivariateRandom

Modifier and Type	Method	Description
static BoundedMultivariateRandom	BinPacking.MinimumNumberOfBins()	Implement the Minimum Number of Bins