Uses of Interface
gov.sandia.cognition.statistics.SufficientStatistic

Packages that use SufficientStatistic

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 SufficientStatistic in gov.sandia.cognition.statistics

Classes in gov.sandia.cognition.statistics with type parameters of type SufficientStatistic

Modifier and Type	Class and Description
class	AbstractIncrementalEstimator<DataType,DistributionType extends Distribution<? extends DataType>,SufficientStatisticsType extends SufficientStatistic<DataType,DistributionType>> Partial implementation of IncrementalEstimator.
interface	IncrementalEstimator<DataType,DistributionType extends Distribution<? extends DataType>,SufficientStatisticsType extends SufficientStatistic<? super DataType,? extends DistributionType>> An estimator of a Distribution that uses SufficientStatistic to arrive at its result.

Classes in gov.sandia.cognition.statistics that implement SufficientStatistic

Modifier and Type	Class and Description
class	AbstractSufficientStatistic<DataType,DistributionType> Partial implementation of SufficientStatistic

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

Classes in gov.sandia.cognition.statistics.bayesian that implement SufficientStatistic

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 SufficientStatistic in gov.sandia.cognition.statistics.distribution

Classes in gov.sandia.cognition.statistics.distribution that implement SufficientStatistic

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.