Package | Description |
---|---|
gov.sandia.cognition.statistics.bayesian |
Provides algorithms for computing Bayesian estimates of parameters.
|
gov.sandia.cognition.statistics.distribution |
Provides statistical distributions.
|
Modifier and Type | Method and Description |
---|---|
MultivariateGaussianInverseGammaDistribution |
BayesianRobustLinearRegression.IncrementalEstimator.SufficientStatistic.create() |
MultivariateGaussianInverseGammaDistribution |
BayesianRobustLinearRegression.learn(java.util.Collection<? extends InputOutputPair<? extends Vectorizable,java.lang.Double>> data) |
MultivariateGaussianInverseGammaDistribution |
BayesianRobustLinearRegression.IncrementalEstimator.learn(java.util.Collection<? extends InputOutputPair<? extends Vectorizable,java.lang.Double>> data) |
Modifier and Type | Method and Description |
---|---|
void |
BayesianRobustLinearRegression.IncrementalEstimator.SufficientStatistic.create(MultivariateGaussianInverseGammaDistribution distribution) |
BayesianRobustLinearRegression.PredictiveDistribution |
BayesianRobustLinearRegression.createPredictiveDistribution(MultivariateGaussianInverseGammaDistribution posterior) |
Constructor and Description |
---|
PredictiveDistribution(MultivariateGaussianInverseGammaDistribution posterior)
Creates a new instance of PredictiveDistribution
|
SufficientStatistic(MultivariateGaussianInverseGammaDistribution prior)
Creates a new instance of SufficientStatistic
|
Modifier and Type | Method and Description |
---|---|
MultivariateGaussianInverseGammaDistribution |
MultivariateGaussianInverseGammaDistribution.clone() |