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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MultinomialDistribution |
MultinomialBayesianEstimator.createConditionalDistribution(Vector parameter) |
Modifier and Type | Method and Description |
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MultinomialBayesianEstimator.Parameter |
MultinomialBayesianEstimator.createParameter(MultinomialDistribution conditional,
DirichletDistribution prior) |
Constructor and Description |
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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 |
MultinomialDistribution.PMF
Probability Mass Function of the Multinomial Distribution.
|
Modifier and Type | Method and Description |
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MultinomialDistribution |
MultinomialDistribution.clone() |
Constructor and Description |
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MultinomialDistribution(MultinomialDistribution other)
Copy constructor
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PMF(MultinomialDistribution other)
Copy constructor
|