Uses of Class
gov.sandia.cognition.statistics.AbstractSufficientStatistic

Packages that use AbstractSufficientStatistic

Package	Description
gov.sandia.cognition.statistics	Provides the inheritance hierarchy for general statistical methods and distributions.
gov.sandia.cognition.statistics.bayesian	Provides algorithms for computing Bayesian estimates of parameters.
gov.sandia.cognition.statistics.distribution	Provides statistical distributions.

Uses of AbstractSufficientStatistic in gov.sandia.cognition.statistics

Methods in gov.sandia.cognition.statistics that return AbstractSufficientStatistic

Modifier and Type	Method and Description
AbstractSufficientStatistic<DataType,DistributionType>	AbstractSufficientStatistic.clone()

Uses of AbstractSufficientStatistic in gov.sandia.cognition.statistics.bayesian

Subclasses of AbstractSufficientStatistic in gov.sandia.cognition.statistics.bayesian

Modifier and Type	Class and Description
class	BayesianLinearRegression.IncrementalEstimator.SufficientStatistic SufficientStatistic for incremental Bayesian linear regression
class	BayesianRobustLinearRegression.IncrementalEstimator.SufficientStatistic SufficientStatistic for incremental Bayesian linear regression

Uses of AbstractSufficientStatistic in gov.sandia.cognition.statistics.distribution

Subclasses of AbstractSufficientStatistic in gov.sandia.cognition.statistics.distribution

Modifier and Type	Class and Description
static class	MultivariateGaussian.SufficientStatistic Implements the sufficient statistics of the MultivariateGaussian.
static class	MultivariateGaussian.SufficientStatisticCovarianceInverse Implements the sufficient statistics of the MultivariateGaussian while estimating the inverse of the covariance matrix.
static class	UnivariateGaussian.SufficientStatistic Captures the sufficient statistics of a UnivariateGaussian, which are the values to estimate the mean and variance.