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

Packages that use AbstractSufficientStatistic
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
 AbstractSufficientStatistic<DataType,DistributionType> AbstractSufficientStatistic.clone()
           
 

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

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