Package dev.nm.stat.random.rng.multivariate

Interface RandomVectorGenerator

All Superinterfaces:
Seedable
All Known Subinterfaces:
BivariateEVD
All Known Implementing Classes:
AbstractBivariateEVD, AbstractHybridMCMC, AbstractMetropolis, BivariateEVDAsymmetricLogistic, BivariateEVDAsymmetricMixed, BivariateEVDAsymmetricNegativeLogistic, BivariateEVDBilogistic, BivariateEVDColesTawn, BivariateEVDHuslerReiss, BivariateEVDLogistic, BivariateEVDNegativeBilogistic, BivariateEVDNegativeLogistic, BurnInRVG, ConcurrentCachedRVG, ErgodicHybridMCMC, HybridMCMC, HypersphereRVG, IID, Metropolis, MetropolisHastings, MultinomialRVG, MultipointHybridMCMC, MultivariateRandomProcess, MultivariateRandomWalk, NormalRVG, RobustAdaptiveMetropolis, ThinRVG, UniformDistributionOverBox, VARIMASim
public interface RandomVectorGenerator extends Seedable
A (pseudo) multivariate random number generator samples a random vector from a multivariate distribution. The elements in a vector can be correlated.
See Also:

  • Method Summary

    Modifier and Type
    Method
    Description
    double[]
    nextVector()
    Gets the next random vector.

    Methods inherited from interface dev.nm.stat.random.Seedable

    seed

  • Method Details

    • nextVector

      double[] nextVector()
      Gets the next random vector.
      Returns:
      the next random vector