static SharedStateContinuousSampler |
AhrensDieterExponentialSampler.of(UniformRandomProvider rng,
double mean) |
Create a new exponential distribution sampler.
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static SharedStateContinuousSampler |
AhrensDieterMarsagliaTsangGammaSampler.of(UniformRandomProvider rng,
double alpha,
double theta) |
Creates a new gamma distribution sampler.
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static SharedStateContinuousSampler |
ChengBetaSampler.of(UniformRandomProvider rng,
double alpha,
double beta) |
Creates a new beta distribution sampler.
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static SharedStateContinuousSampler |
ContinuousUniformSampler.of(UniformRandomProvider rng,
double lo,
double hi) |
Creates a new continuous uniform distribution sampler.
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static SharedStateContinuousSampler |
ContinuousUniformSampler.of(UniformRandomProvider rng,
double lo,
double hi,
boolean excludeBounds) |
Creates a new continuous uniform distribution sampler.
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static SharedStateContinuousSampler |
GaussianSampler.of(NormalizedGaussianSampler normalized,
double mean,
double standardDeviation) |
Create a new normalised Gaussian sampler.
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static SharedStateContinuousSampler |
InverseTransformContinuousSampler.of(UniformRandomProvider rng,
ContinuousInverseCumulativeProbabilityFunction function) |
Create a new inverse-transform continuous sampler.
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static SharedStateContinuousSampler |
InverseTransformParetoSampler.of(UniformRandomProvider rng,
double scale,
double shape) |
Creates a new Pareto distribution sampler.
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static SharedStateContinuousSampler |
LogNormalSampler.of(NormalizedGaussianSampler gaussian,
double mu,
double sigma) |
Create a new log-normal distribution sampler.
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SharedStateContinuousSampler |
AhrensDieterExponentialSampler.withUniformRandomProvider(UniformRandomProvider rng) |
Create a new instance of the sampler with the same underlying state using the given
uniform random provider as the source of randomness.
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SharedStateContinuousSampler |
AhrensDieterMarsagliaTsangGammaSampler.withUniformRandomProvider(UniformRandomProvider rng) |
Create a new instance of the sampler with the same underlying state using the given
uniform random provider as the source of randomness.
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SharedStateContinuousSampler |
BoxMullerNormalizedGaussianSampler.withUniformRandomProvider(UniformRandomProvider rng) |
Create a new instance of the sampler with the same underlying state using the given
uniform random provider as the source of randomness.
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SharedStateContinuousSampler |
ChengBetaSampler.withUniformRandomProvider(UniformRandomProvider rng) |
Create a new instance of the sampler with the same underlying state using the given
uniform random provider as the source of randomness.
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SharedStateContinuousSampler |
ContinuousUniformSampler.withUniformRandomProvider(UniformRandomProvider rng) |
Create a new instance of the sampler with the same underlying state using the given
uniform random provider as the source of randomness.
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SharedStateContinuousSampler |
GaussianSampler.withUniformRandomProvider(UniformRandomProvider rng) |
Create a new instance of the sampler with the same underlying state using the given
uniform random provider as the source of randomness.
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SharedStateContinuousSampler |
InverseTransformContinuousSampler.withUniformRandomProvider(UniformRandomProvider rng) |
Create a new instance of the sampler with the same underlying state using the given
uniform random provider as the source of randomness.
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SharedStateContinuousSampler |
InverseTransformParetoSampler.withUniformRandomProvider(UniformRandomProvider rng) |
Create a new instance of the sampler with the same underlying state using the given
uniform random provider as the source of randomness.
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SharedStateContinuousSampler |
LogNormalSampler.withUniformRandomProvider(UniformRandomProvider rng) |
Create a new instance of the sampler with the same underlying state using the given
uniform random provider as the source of randomness.
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SharedStateContinuousSampler |
MarsagliaNormalizedGaussianSampler.withUniformRandomProvider(UniformRandomProvider rng) |
Create a new instance of the sampler with the same underlying state using the given
uniform random provider as the source of randomness.
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SharedStateContinuousSampler |
ZigguratNormalizedGaussianSampler.withUniformRandomProvider(UniformRandomProvider rng) |
Create a new instance of the sampler with the same underlying state using the given
uniform random provider as the source of randomness.
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