| ContinuousInverseCumulativeProbabilityFunction |
Interface for a continuous distribution that can be sampled using
the
inversion method.
|
| ContinuousSampler |
Sampler that generates values of type double.
|
| DirichletSampler |
|
| DiscreteInverseCumulativeProbabilityFunction |
Interface for a discrete distribution that can be sampled using
the
inversion method.
|
| DiscreteSampler |
Sampler that generates values of type int.
|
| FastLoadedDiceRollerDiscreteSampler |
Distribution sampler that uses the Fast Loaded Dice Roller (FLDR).
|
| LevySampler |
Sampling from a Lévy distribution.
|
| LongSampler |
Sampler that generates values of type long.
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| NormalizedGaussianSampler |
|
| PoissonSamplerCache |
|
| SamplerBase |
Deprecated.
|
| SharedStateContinuousSampler |
Sampler that generates values of type double and can create new instances to sample
from the same state with a given source of randomness.
|
| SharedStateDiscreteSampler |
Sampler that generates values of type int and can create new instances to sample
from the same state with a given source of randomness.
|
| SharedStateLongSampler |
Sampler that generates values of type long and can create new instances to sample
from the same state with a given source of randomness.
|
| StableSampler |
Samples from a stable distribution.
|
| TSampler |
Sampling from a T distribution.
|
| UniformLongSampler |
Discrete uniform distribution sampler generating values of type long.
|
| ZigguratSampler |
Modified ziggurat method for sampling from Gaussian and exponential distributions.
|
| ZigguratSampler.Exponential |
Modified ziggurat method for sampling from an exponential distribution.
|
| ZigguratSampler.NormalizedGaussian |
Modified ziggurat method for sampling from a Gaussian distribution with
mean 0 and standard deviation 1.
|