Package | Description |
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gov.sandia.cognition.statistics.bayesian.conjugate |
Provides Bayesian estimation routines based on conjugate prior distribution
of parameters of specific conditional distributions.
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gov.sandia.cognition.statistics.distribution |
Provides statistical distributions.
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Modifier and Type | Method and Description |
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ExponentialBayesianEstimator.Parameter |
ExponentialBayesianEstimator.createParameter(ExponentialDistribution conditional,
GammaDistribution prior) |
Constructor and Description |
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ExponentialBayesianEstimator(ExponentialDistribution conditional,
GammaDistribution prior)
Creates a new instance of ExponentialBayesianEstimator
|
Parameter(ExponentialDistribution conditional,
GammaDistribution prior)
Creates a new instance of Parameter
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Constructor and Description |
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ExponentialBayesianEstimator(BayesianParameter<java.lang.Double,ExponentialDistribution,GammaDistribution> parameter)
Creates a new instance of ExponentialBayesianEstimator
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Modifier and Type | Class and Description |
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static class |
ExponentialDistribution.CDF
CDF of the ExponentialDistribution.
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static class |
ExponentialDistribution.PDF
PDF of the ExponentialDistribution.
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Modifier and Type | Method and Description |
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ExponentialDistribution |
ExponentialDistribution.clone() |
ExponentialDistribution |
ExponentialDistribution.MaximumLikelihoodEstimator.learn(java.util.Collection<? extends java.lang.Double> data) |
ExponentialDistribution |
ExponentialDistribution.WeightedMaximumLikelihoodEstimator.learn(java.util.Collection<? extends WeightedValue<? extends java.lang.Double>> data) |
Constructor and Description |
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CDF(ExponentialDistribution other)
Copy constructor
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ExponentialDistribution(ExponentialDistribution other)
Creates a new instance of ExponentialDistribution
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PDF(ExponentialDistribution other)
Copy constructor
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