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 .
|
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.
|