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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BinomialBayesianEstimator.Parameter |
BinomialBayesianEstimator.createParameter(BinomialDistribution conditional,
BetaDistribution prior) |
Constructor and Description |
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BinomialBayesianEstimator(BinomialDistribution conditional,
BetaDistribution prior)
Creates a new instance of BinomialBayesianEstimator
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Parameter(BinomialDistribution conditional,
BetaDistribution prior)
Creates a new instance of Parameter
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Constructor and Description |
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BinomialBayesianEstimator(BayesianParameter<java.lang.Double,BinomialDistribution,BetaDistribution> parameter)
Creates a new instance of BinomialBayesianEstimator
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Modifier and Type | Class and Description |
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static class |
BinomialDistribution.CDF
CDF of the Binomial distribution, which is the probability of getting
up to "x" successes in "N" trials with a Bernoulli probability of "p"
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static class |
BinomialDistribution.PMF
The Probability Mass Function of a binomial distribution.
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Modifier and Type | Method and Description |
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BinomialDistribution |
BinomialDistribution.clone() |
Constructor and Description |
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BinomialDistribution(BinomialDistribution other)
Copy constructor
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CDF(BinomialDistribution other)
Creates a new instance of CDF
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PMF(BinomialDistribution other)
Copy constructor
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