Class | Description |
---|---|
AbstractBayesianDistribution |
Expresses the common characteristics of a two-level distribution in which
the higher level distribution describes a prior distribution of parameters
for the lower level distribution.
|
BetaBinomialDistribution |
Implements a beta-binomial pair of conjugate distributions.
|
BetaDistribution |
Sample from a beta distribution.
|
BinomialDistributionSampler | |
DistributionGenerator |
Generate a reference distribution for testing.
|
DistributionWithMean |
Represents a distribution that knows it's own mean.
|
GammaNormalBayesModel |
Multi-armed bandit problem where each reward is normally distributed with a gamma prior.
|
GammaNormalDistribution |
Samples from a Gamma-Normal distribution.
|
NormalDistributionSampler |
Returns a normal distribution whose mean is uniformly distributed on [0,1) and whose sd is as
specified.
|
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