See: Description
| Interface | Description |
|---|---|
| ConjugatePriorBayesianEstimator<ObservationType,ParameterType,ConditionalType extends ClosedFormDistribution<ObservationType>,BeliefType extends ClosedFormDistribution<ParameterType>> |
A Bayesian Estimator that makes use of conjugate priors, which is a
mathematical trick when the conditional and the prior result a posterior
that is the same type as the prior.
|
| ConjugatePriorBayesianEstimatorPredictor<ObservationType,ParameterType,ConditionalType extends ClosedFormDistribution<ObservationType>,BeliefType extends ClosedFormDistribution<ParameterType>> |
A conjugate prior estimator that also has a closed-form predictive posterior.
|
| Class | Description |
|---|---|
| AbstractConjugatePriorBayesianEstimator<ObservationType,ParameterType,ConditionalType extends ClosedFormDistribution<ObservationType>,BeliefType extends ClosedFormDistribution<ParameterType>> |
Partial implementation of ConjugatePriorBayesianEstimator that contains a initial belief
(prior) distribution function.
|
| BernoulliBayesianEstimator |
A Bayesian estimator for the parameter of a BernoulliDistribution using
the conjugate prior BetaDistribution.
|
| BernoulliBayesianEstimator.Parameter |
Parameter of this conjugate prior relationship.
|
| BinomialBayesianEstimator |
A Bayesian estimator for the parameter of a Bernoulli parameter, p,
of a BinomialDistribution using the conjugate prior BetaDistribution.
|
| BinomialBayesianEstimator.Parameter |
Parameter of this relationship
|
| ExponentialBayesianEstimator |
Conjugate prior Bayesian estimator of the "rate" parameter of an
Exponential distribution using the conjugate prior Gamma distribution.
|
| ExponentialBayesianEstimator.Parameter |
Bayesian parameter describing this conjugate relationship.
|
| GammaInverseScaleBayesianEstimator |
A Bayesian estimator for the scale parameter of a Gamma distribution
using the conjugate prior Gamma distribution for the inverse-scale (rate)
of the Gamma.
|
| GammaInverseScaleBayesianEstimator.Parameter |
Bayesian parameter describing this conjugate relationship.
|
| MultinomialBayesianEstimator |
A Bayesian estimator for the parameters of a MultinomialDistribution using
its conjugate prior distribution, the DirichletDistribution.
|
| MultinomialBayesianEstimator.Parameter |
Parameter of this conjugate prior relationship.
|
| MultivariateGaussianMeanBayesianEstimator |
Bayesian estimator for the mean of a MultivariateGaussian using its conjugate
prior, which is also a MultivariateGaussian.
|
| MultivariateGaussianMeanBayesianEstimator.Parameter |
Parameter of this conjugate prior relationship.
|
| MultivariateGaussianMeanCovarianceBayesianEstimator |
Performs robust estimation of both the mean and covariance of a
MultivariateGaussian conditional distribution using the conjugate prior
Normal-Inverse-Wishart distribution.
|
| MultivariateGaussianMeanCovarianceBayesianEstimator.Parameter |
Parameter for this conjugate prior estimator.
|
| PoissonBayesianEstimator |
A Bayesian estimator for the parameter of a PoissonDistribution using
the conjugate prior GammaDistribution.
|
| PoissonBayesianEstimator.Parameter |
Parameter of this conjugate prior relationship.
|
| UniformDistributionBayesianEstimator |
A Bayesian estimator for a conditional Uniform(0,theta) distribution using
its conjugate prior Pareto distribution.
|
| UniformDistributionBayesianEstimator.Parameter |
Parameter of this conjugate prior relationship.
|
| UnivariateGaussianMeanBayesianEstimator |
Bayesian estimator for the mean of a UnivariateGaussian using its conjugate
prior, which is also a UnivariateGaussian.
|
| UnivariateGaussianMeanBayesianEstimator.Parameter |
Parameter of this conjugate prior relationship.
|
| UnivariateGaussianMeanVarianceBayesianEstimator |
Computes the mean and variance of a univariate Gaussian using the
conjugate prior NormalInverseGammaDistribution
|
| UnivariateGaussianMeanVarianceBayesianEstimator.Parameter |
Parameter for this conjugate prior estimator.
|