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