| 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 |
|---|---|
MultinomialDistribution |
MultinomialBayesianEstimator.createConditionalDistribution(Vector parameter) |
| Modifier and Type | Method and Description |
|---|---|
MultinomialBayesianEstimator.Parameter |
MultinomialBayesianEstimator.createParameter(MultinomialDistribution conditional,
DirichletDistribution prior) |
| Constructor and Description |
|---|
MultinomialBayesianEstimator(MultinomialDistribution conditional,
DirichletDistribution prior)
Creates a new instance of PoissonBayesianEstimator
|
Parameter(MultinomialDistribution conditional,
DirichletDistribution prior)
Creates a new instance
|
| Constructor and Description |
|---|
MultinomialBayesianEstimator(BayesianParameter<Vector,MultinomialDistribution,DirichletDistribution> parameter)
Creates a new instance
|
| Modifier and Type | Class and Description |
|---|---|
static class |
MultinomialDistribution.PMF
Probability Mass Function of the Multinomial Distribution.
|
| Modifier and Type | Method and Description |
|---|---|
MultinomialDistribution |
MultinomialDistribution.clone() |
| Constructor and Description |
|---|
MultinomialDistribution(MultinomialDistribution other)
Copy constructor
|
PMF(MultinomialDistribution other)
Copy constructor
|