class |
AhrensDieterExponentialSampler |
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class |
AhrensDieterMarsagliaTsangGammaSampler |
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private static class |
AhrensDieterMarsagliaTsangGammaSampler.AhrensDieterGammaSampler |
Class to sample from the Gamma distribution when 0 < alpha < 1 .
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private static class |
AhrensDieterMarsagliaTsangGammaSampler.BaseGammaSampler |
Base class for a sampler from the Gamma distribution.
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private static class |
AhrensDieterMarsagliaTsangGammaSampler.MarsagliaTsangGammaSampler |
Class to sample from the Gamma distribution when the alpha >= 1 .
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class |
AliasMethodDiscreteSampler |
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private static class |
AliasMethodDiscreteSampler.SmallTableAliasMethodDiscreteSampler |
Sample from the computed tables exploiting the small power-of-two table size.
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class |
BoxMullerNormalizedGaussianSampler |
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class |
ChengBetaSampler |
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private static class |
ChengBetaSampler.BaseChengBetaSampler |
Base class to implement Cheng's algorithms for the beta distribution.
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private static class |
ChengBetaSampler.ChengBBBetaSampler |
Computes one sample using Cheng's BB algorithm, when beta distribution alpha and
beta shape parameters are both larger than 1.
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private static class |
ChengBetaSampler.ChengBCBetaSampler |
Computes one sample using Cheng's BC algorithm, when at least one of beta distribution
alpha or beta shape parameters is smaller than 1.
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class |
ContinuousUniformSampler |
Sampling from a uniform distribution.
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private static class |
ContinuousUniformSampler.OpenIntervalContinuousUniformSampler |
Specialization to sample from an open interval (lo, hi) .
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class |
DirichletSampler |
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private static class |
DirichletSampler.GeneralDirichletSampler |
Sample from a Dirichlet distribution with different concentration parameters
for each category.
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private static class |
DirichletSampler.SymmetricDirichletSampler |
Sample from a symmetric Dirichlet distribution with the same concentration parameter
for each category.
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class |
DiscreteUniformSampler |
Discrete uniform distribution sampler.
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private static class |
DiscreteUniformSampler.AbstractDiscreteUniformSampler |
Base class for a sampler from a discrete uniform distribution.
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private static class |
DiscreteUniformSampler.FixedDiscreteUniformSampler |
Discrete uniform distribution sampler when the sample value is fixed.
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private static class |
DiscreteUniformSampler.LargeRangeDiscreteUniformSampler |
Discrete uniform distribution sampler when the range between lower and upper is too large
to fit in a positive integer.
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private static class |
DiscreteUniformSampler.OffsetDiscreteUniformSampler |
Adds an offset to an underlying discrete sampler.
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private static class |
DiscreteUniformSampler.PowerOf2RangeDiscreteUniformSampler |
Discrete uniform distribution sampler when the range is a power of 2 and greater than 1.
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private static class |
DiscreteUniformSampler.SmallRangeDiscreteUniformSampler |
Discrete uniform distribution sampler when the range is small
enough to fit in a positive integer.
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class |
FastLoadedDiceRollerDiscreteSampler |
Distribution sampler that uses the Fast Loaded Dice Roller (FLDR).
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private static class |
FastLoadedDiceRollerDiscreteSampler.FixedValueDiscreteSampler |
Class to handle the edge case of observations in only one category.
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private static class |
FastLoadedDiceRollerDiscreteSampler.FLDRSampler |
Class to implement the FLDR sample algorithm.
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class |
GaussianSampler |
Sampling from a Gaussian distribution with given mean and
standard deviation.
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private static class |
GeometricSampler.GeometricExponentialSampler |
Sample from the geometric distribution by using a related exponential distribution.
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private static class |
GeometricSampler.GeometricP1Sampler |
Sample from the geometric distribution when the probability of success is 1.
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class |
GuideTableDiscreteSampler |
Compute a sample from n values each with an associated probability.
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class |
InverseTransformContinuousSampler |
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class |
InverseTransformDiscreteSampler |
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class |
InverseTransformParetoSampler |
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class |
KempSmallMeanPoissonSampler |
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class |
LargeMeanPoissonSampler |
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class |
LevySampler |
Sampling from a Lévy distribution.
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class |
LogNormalSampler |
Sampling from a log-normal distribution.
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class |
MarsagliaNormalizedGaussianSampler |
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private static class |
MarsagliaTsangWangDiscreteSampler.AbstractMarsagliaTsangWangDiscreteSampler |
The base class for Marsaglia-Tsang-Wang samplers.
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private static class |
MarsagliaTsangWangDiscreteSampler.Binomial.MarsagliaTsangWangFixedResultBinomialSampler |
Return a fixed result for the Binomial distribution.
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private static class |
MarsagliaTsangWangDiscreteSampler.Binomial.MarsagliaTsangWangInversionBinomialSampler |
Return an inversion result for the Binomial distribution.
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private static class |
MarsagliaTsangWangDiscreteSampler.MarsagliaTsangWangBase64Int16DiscreteSampler |
An implementation for the sample algorithm based on the decomposition of the
index in the range [0,2^30) into 5 base-64 digits with 16-bit backing storage.
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private static class |
MarsagliaTsangWangDiscreteSampler.MarsagliaTsangWangBase64Int32DiscreteSampler |
An implementation for the sample algorithm based on the decomposition of the
index in the range [0,2^30) into 5 base-64 digits with 32-bit backing storage.
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private static class |
MarsagliaTsangWangDiscreteSampler.MarsagliaTsangWangBase64Int8DiscreteSampler |
An implementation for the sample algorithm based on the decomposition of the
index in the range [0,2^30) into 5 base-64 digits with 8-bit backing storage.
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class |
PoissonSampler |
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class |
RejectionInversionZipfSampler |
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private static class |
RejectionInversionZipfSampler.RejectionInversionZipfSamplerImpl |
Implements the rejection-inversion method for the Zipf distribution.
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class |
SmallMeanPoissonSampler |
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class |
StableSampler |
Samples from a stable distribution.
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(package private) static class |
StableSampler.Alpha1CMSStableSampler |
Implement the stable distribution case: alpha == 1 and beta != 0 .
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private static class |
StableSampler.BaseStableSampler |
Base class for implementations of a stable distribution that requires an exponential
random deviate.
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(package private) static class |
StableSampler.Beta0CMSStableSampler |
Implement the generic stable distribution case: alpha < 2 and beta == 0 .
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(package private) static class |
StableSampler.Beta0WeronStableSampler |
Implement the generic stable distribution case: alpha < 2 and beta == 0 .
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private static class |
StableSampler.CauchyStableSampler |
Implement the alpha = 1 and beta = 0 stable distribution case
(Cauchy distribution).
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(package private) static class |
StableSampler.CMSStableSampler |
Implement the generic stable distribution case: alpha < 2 and
beta != 0 .
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private static class |
StableSampler.GaussianStableSampler |
Implement the alpha = 2 stable distribution case (Gaussian distribution).
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private static class |
StableSampler.LevyStableSampler |
Implement the alpha = 0.5 and beta = 1 stable distribution case
(Levy distribution).
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private static class |
StableSampler.TransformedStableSampler |
Class for implementations of a stable distribution transformed by scale and location.
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(package private) static class |
StableSampler.WeronStableSampler |
Implement the generic stable distribution case: alpha < 2 and
beta != 0 .
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class |
TSampler |
Sampling from a T distribution.
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private static class |
TSampler.NormalTSampler |
Sample from a t-distribution using a normal distribution.
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private static class |
TSampler.StudentsTSampler |
Sample from a t-distribution using Bailey's algorithm.
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class |
UniformLongSampler |
Discrete uniform distribution sampler generating values of type long .
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private static class |
UniformLongSampler.FixedUniformLongSampler |
Discrete uniform distribution sampler when the sample value is fixed.
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private static class |
UniformLongSampler.LargeRangeUniformLongSampler |
Discrete uniform distribution sampler when the range between lower and upper is too large
to fit in a positive long.
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private static class |
UniformLongSampler.OffsetUniformLongSampler |
Adds an offset to an underlying discrete sampler.
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private static class |
UniformLongSampler.PowerOf2RangeUniformLongSampler |
Discrete uniform distribution sampler when the range is a power of 2 and greater than 1.
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private static class |
UniformLongSampler.SmallRangeUniformLongSampler |
Discrete uniform distribution sampler when the range is small
enough to fit in a positive long.
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class |
ZigguratNormalizedGaussianSampler |
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class |
ZigguratSampler |
Modified ziggurat method for sampling from Gaussian and exponential distributions.
|
static class |
ZigguratSampler.Exponential |
Modified ziggurat method for sampling from an exponential distribution.
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private static class |
ZigguratSampler.Exponential.ExponentialMean |
Specialisation which multiplies the standard exponential result by a specified mean.
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static class |
ZigguratSampler.NormalizedGaussian |
Modified ziggurat method for sampling from a Gaussian distribution with
mean 0 and standard deviation 1.
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