Package | Description |
---|---|
gov.sandia.cognition.statistics.bayesian.conjugate |
Provides Bayesian estimation routines based on conjugate prior distribution
of parameters of specific conditional distributions.
|
gov.sandia.cognition.statistics.distribution |
Provides statistical distributions.
|
Modifier and Type | Method and Description |
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double |
MultinomialBayesianEstimator.computeEquivalentSampleSize(DirichletDistribution belief) |
MultinomialBayesianEstimator.Parameter |
MultinomialBayesianEstimator.createParameter(MultinomialDistribution conditional,
DirichletDistribution prior) |
MultivariatePolyaDistribution |
MultinomialBayesianEstimator.createPredictiveDistribution(DirichletDistribution posterior) |
void |
MultinomialBayesianEstimator.update(DirichletDistribution belief,
Vector value) |
Constructor and Description |
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MultinomialBayesianEstimator(DirichletDistribution initialBelief,
int numTrials)
Creates a new instance of MultinomialBayesianEstimator
|
MultinomialBayesianEstimator(MultinomialDistribution conditional,
DirichletDistribution prior)
Creates a new instance of PoissonBayesianEstimator
|
Parameter(MultinomialDistribution conditional,
DirichletDistribution prior)
Creates a new instance
|
Constructor and Description |
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MultinomialBayesianEstimator(BayesianParameter<Vector,MultinomialDistribution,DirichletDistribution> parameter)
Creates a new instance
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Modifier and Type | Class and Description |
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static class |
DirichletDistribution.PDF
PDF of the Dirichlet distribution.
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Modifier and Type | Method and Description |
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DirichletDistribution |
DirichletDistribution.clone() |
Constructor and Description |
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DirichletDistribution(DirichletDistribution other)
Copy Constructor.
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PDF(DirichletDistribution other)
Copy Constructor.
|