gov.sandia.cognition.statistics

Interface SufficientStatistic<DataType,DistributionType>

Type Parameters:

DataType - Type of data generated by the Distribution

DistributionType - Type of Distribution this is the sufficient statistics of

All Superinterfaces:

java.lang.Cloneable, CloneableSerializable, Factory<DistributionType>, java.io.Serializable

All Known Implementing Classes:

AbstractSufficientStatistic, BayesianLinearRegression.IncrementalEstimator.SufficientStatistic, BayesianRobustLinearRegression.IncrementalEstimator.SufficientStatistic, MultivariateGaussian.SufficientStatistic, MultivariateGaussian.SufficientStatisticCovarianceInverse, UnivariateGaussian.SufficientStatistic

@PublicationReference(author="Wikipedia",
                      title="Sufficient statistic",
                      type=WebPage,
                      year=2011,
                      url="http://en.wikipedia.org/wiki/Sufficient_statistic")
public interface SufficientStatistic<DataType,DistributionType>
extends Factory<DistributionType>, CloneableSerializable

Sufficient statistics are the data which are sufficient to store all information to create an underlying parameter, such as a Distribution.

Since:

3.1

Author:

Kevin R. Dixon

Method Summary

Modifier and Type	Method and Description
void	create(DistributionType distribution) Modifies the given distribution with the parameters indicated by the sufficient statistics
long	getCount() Gets the count
void	update(DataType value) Updates the sufficient statistics from the given value
void	update(java.lang.Iterable<? extends DataType> values) Updates the sufficient statistics from the given set of values

Methods inherited from interface gov.sandia.cognition.factory.Factory

create

Methods inherited from interface gov.sandia.cognition.util.CloneableSerializable

clone

Method Detail

getCount

long getCount()

Gets the count

Returns:

Number of data points used to create this SufficientStatistic

create

void create(DistributionType distribution)

Modifies the given distribution with the parameters indicated by the sufficient statistics

Parameters:

distribution - Distribution to modify by side effect

update

void update(DataType value)

Updates the sufficient statistics from the given value

Parameters:

value - Value to update the sufficient statistics

update

void update(java.lang.Iterable<? extends DataType> values)

Updates the sufficient statistics from the given set of values

Parameters:

values - Values to update the sufficient statistics