Package  Description 

gov.sandia.cognition.learning.function.categorization 
Provides functions that output a discrete set of categories.

gov.sandia.cognition.statistics 
Provides the inheritance hierarchy for general statistical methods and distributions.

gov.sandia.cognition.statistics.distribution 
Provides statistical distributions.

Modifier and Type  Class and Description 

class 
MaximumAPosterioriCategorizer<ObservationType,CategoryType>
Categorizer that returns the category with the highest posterior likelihood
for a given observation.

Modifier and Type  Class and Description 

class 
AbstractClosedFormIntegerDistribution
An abstract class for closedform integer distributions.

class 
AbstractClosedFormSmoothUnivariateDistribution
Partial implementation of SmoothUnivariateDistribution

class 
AbstractClosedFormUnivariateDistribution<NumberType extends java.lang.Number>
Partial implementation of a ClosedFormUnivariateDistribution.

Modifier and Type  Class and Description 

class 
BernoulliDistribution
A Bernoulli distribution, which takes a value of "1" with probability "p"
and value of "0" with probability "1p".

static class 
BernoulliDistribution.CDF
CDF of a Bernoulli distribution.

static class 
BernoulliDistribution.PMF
PMF of the Bernoulli distribution.

class 
BetaBinomialDistribution
A Binomial distribution where the binomial parameter, p, is set according
to a Beta distribution instead of a single value.

static class 
BetaBinomialDistribution.CDF
CDF of BetaBinomialDistribution

static class 
BetaBinomialDistribution.PMF
PMF of the BetaBinomialDistribution

class 
BetaDistribution
Computes the Betafamily of probability distributions.

static class 
BetaDistribution.CDF
CDF of the Betafamily distribution

static class 
BetaDistribution.PDF
Beta distribution probability density function

class 
BinomialDistribution
Binomial distribution, which is a collection of Bernoulli trials

static class 
BinomialDistribution.CDF
CDF of the Binomial distribution, which is the probability of getting
up to "x" successes in "N" trials with a Bernoulli probability of "p"

static class 
BinomialDistribution.PMF
The Probability Mass Function of a binomial distribution.

class 
CategoricalDistribution
The Categorical Distribution is the multivariate generalization of the
Bernoulli distribution, where the outcome of an experiment is a oneofN
output, where the output is a selector Vector.

static class 
CategoricalDistribution.PMF
PMF of the Categorical Distribution

class 
CauchyDistribution
A Cauchy Distribution is the ratio of two Gaussian Distributions, sometimes
known as the Lorentz distribution.

static class 
CauchyDistribution.CDF
CDF of the CauchyDistribution.

static class 
CauchyDistribution.PDF
PDF of the CauchyDistribution.

class 
ChineseRestaurantProcess
A Chinese Restaurant Process is a discrete stochastic processes that
partitions data points to clusters.

static class 
ChineseRestaurantProcess.PMF
PMF of the Chinese Restaurant Process

class 
ChiSquareDistribution
Describes a ChiSquare Distribution.

static class 
ChiSquareDistribution.CDF
Cumulative Distribution Function (CDF) of a ChiSquare Distribution

static class 
ChiSquareDistribution.PDF
PDF of the ChiSquare distribution

class 
DeterministicDistribution
A deterministic distribution that returns samples at a single point.

static class 
DeterministicDistribution.CDF
CDF of the deterministic distribution.

static class 
DeterministicDistribution.PMF
PMF of the deterministic distribution.

class 
DirichletDistribution
The Dirichlet distribution is the multivariate generalization of the beta
distribution.

static class 
DirichletDistribution.PDF
PDF of the Dirichlet distribution.

class 
ExponentialDistribution
An Exponential distribution describes the time between events in a poisson
process, resulting in a memoryless distribution.

static class 
ExponentialDistribution.CDF
CDF of the ExponentialDistribution.

static class 
ExponentialDistribution.PDF
PDF of the ExponentialDistribution.

class 
GammaDistribution
Class representing the Gamma distribution.

static class 
GammaDistribution.CDF
CDF of the Gamma distribution

static class 
GammaDistribution.PDF
Closedform PDF of the Gamma distribution

class 
GeometricDistribution
The geometric distribution models the number of successes before the first
failure occurs under an independent succession of Bernoulli tests.

static class 
GeometricDistribution.CDF
CDF of the Geometric distribution

static class 
GeometricDistribution.PMF
PMF of the Geometric distribution

class 
InverseGammaDistribution
Defines an inversegamma distribution.

static class 
InverseGammaDistribution.CDF
CDF of the inverseRootFindergamma distribution.

static class 
InverseGammaDistribution.PDF
PDF of the inverseRootFinderGamma distribution.

class 
InverseWishartDistribution
The InverseWishart distribution is the multivariate generalization of the
inversegamma distribution.

static class 
InverseWishartDistribution.PDF
PDF of the InverseWishart distribution, though I have absolutely no
idea why anybody would evaluate the PDF of an InverseWishart...

class 
KolmogorovDistribution
Contains the Cumulative Distribution Function description for the "D"
statistic used within the KolmogorovSmirnov test.

static class 
KolmogorovDistribution.CDF
Contains the Cumulative Distribution Function description for the "D"
statistic used within the KolmogorovSmirnov test.

class 
LaplaceDistribution
A Laplace distribution, sometimes called a double exponential distribution.

static class 
LaplaceDistribution.CDF
CDF of the Laplace distribution.

static class 
LaplaceDistribution.PDF
The PDF of a Laplace Distribution.

class 
LinearMixtureModel<DataType,DistributionType extends Distribution<DataType>>
A linear mixture of RandomVariables, with a prior probability distribution.

class 
LogisticDistribution
A implementation of the scalar logistic distribution, which measures the
logodds of a binary event.

static class 
LogisticDistribution.CDF
CDF of the LogisticDistribution

static class 
LogisticDistribution.PDF
PDF of the LogisticDistribution

class 
LogNormalDistribution
LogNormal distribution PDF and CDF implementations.

static class 
LogNormalDistribution.CDF
CDF of the LogNormal Distribution

static class 
LogNormalDistribution.PDF
PDF of a Lognormal distribution

static class 
MixtureOfGaussians.PDF
PDF of the MixtureOfGaussians

class 
MultinomialDistribution
A multinomial distribution is the multivariate/multiclass generalization
of the Binomial distribution.

static class 
MultinomialDistribution.PMF
Probability Mass Function of the Multinomial Distribution.

class 
MultivariateGaussian
The MultivariateGaussian class implements a multidimensional Gaussian
distribution that contains a mean vector and a covariance matrix.

static class 
MultivariateGaussian.PDF
PDF of a multivariate Gaussian

class 
MultivariateGaussianInverseGammaDistribution
A distribution where the mean is selected by a multivariate Gaussian and
a variance parameter (either for a univariate Gaussian or isotropic Gaussian)
is determined by an InverseGamma distribution.

class 
MultivariateMixtureDensityModel<DistributionType extends ClosedFormComputableDistribution<Vector>>
A LinearMixtureModel of multivariate distributions with associated PDFs.

static class 
MultivariateMixtureDensityModel.PDF<DistributionType extends ClosedFormComputableDistribution<Vector>>
PDF of the MultivariateMixtureDensityModel

class 
MultivariatePolyaDistribution
A multivariate Polya Distribution, also known as a DirichletMultinomial
model, is a compound distribution where the parameters of a multinomial
are drawn from a Dirichlet distribution with fixed parameters and a constant
number of trials and then the observations are generated by this
multinomial.

static class 
MultivariatePolyaDistribution.PMF
PMF of the MultivariatePolyaDistribution

class 
MultivariateStudentTDistribution
Multivariate generalization of the noncentral Student's tdistribution.

static class 
MultivariateStudentTDistribution.PDF
PDF of the MultivariateStudentTDistribution

class 
NegativeBinomialDistribution
Negative binomial distribution, also known as the Polya distribution,
gives the number of successes of a series of Bernoulli trials before
recording a given number of failures.

static class 
NegativeBinomialDistribution.CDF
CDF of the NegativeBinomialDistribution

static class 
NegativeBinomialDistribution.PMF
PMF of the NegativeBinomialDistribution.

class 
NormalInverseGammaDistribution
The normal inversegamma distribution is the product of a univariate
Gaussian distribution with an inversegamma distribution.

static class 
NormalInverseGammaDistribution.PDF
PDF of the NormalInverseGammaDistribution

class 
NormalInverseWishartDistribution
The normal inverse Wishart distribution

static class 
NormalInverseWishartDistribution.PDF
PDF of the normal inverseWishart distribution.

class 
ParetoDistribution
This class describes the Pareto distribution, sometimes called the Bradford
Distribution.

static class 
ParetoDistribution.CDF
CDF of the Pareto Distribution.

static class 
ParetoDistribution.PDF
PDF of the ParetoDistribution

class 
PoissonDistribution
A Poisson distribution is the limits of what happens when a Bernoulli trial
with "rare" events are sampled on a continuous basis and then binned into
discrete time intervals.

static class 
PoissonDistribution.CDF
CDF of the PoissonDistribution

static class 
PoissonDistribution.PMF
PMF of the PoissonDistribution.

class 
ScalarMixtureDensityModel
ScalarMixtureDensityModel (SMDM) implements just that: a scalar mixture density
model.

static class 
ScalarMixtureDensityModel.CDF
CDFof the SMDM

static class 
ScalarMixtureDensityModel.PDF
PDF of the SMDM

class 
SnedecorFDistribution
CDF of the Snedecor Fdistribution (also known as Fisher Fdistribution,
FisherSnedecor Fdistribution, or just plain old Fdistribution).

static class 
SnedecorFDistribution.CDF
CDF of the Fdistribution.

class 
StudentizedRangeDistribution
Implementation of the Studentized Range distribution, which defines the
population correction factor when performing multiple comparisons.

static class 
StudentizedRangeDistribution.CDF
CDF of the StudentizedRangeDistribution

class 
StudentTDistribution
Defines a noncentral Studentt Distribution.

static class 
StudentTDistribution.CDF
Evaluator that computes the Cumulative Distribution Function (CDF) of
a Studentt distribution with a fixed number of degrees of freedom

static class 
StudentTDistribution.PDF
Evaluator that computes the Probability Density Function (CDF) of
a Studentt distribution with a fixed number of degrees of freedom

class 
UniformDistribution
Contains the (very simple) definition of a continuous Uniform distribution,
parameterized between the minimum and maximum bounds.

static class 
UniformDistribution.CDF
Cumulative Distribution Function of a uniform

static class 
UniformDistribution.PDF
Probability density function of a Uniform Distribution

class 
UniformIntegerDistribution
Contains the (very simple) definition of a continuous Uniform distribution,
parameterized between the minimum and maximum bounds.

static class 
UniformIntegerDistribution.CDF
Implements the cumulative distribution function for the discrete
uniform distribution.

static class 
UniformIntegerDistribution.PMF
Probability mass function of a discrete uniform distribution.

class 
UnivariateGaussian
This class contains internal classes that implement useful functions based
on the Gaussian distribution.

static class 
UnivariateGaussian.CDF
CDF of the underlying Gaussian.

static class 
UnivariateGaussian.CDF.Inverse
Inverts the CumulativeDistribution function.

static class 
UnivariateGaussian.PDF
PDF of the underlying Gaussian.

class 
WeibullDistribution
Describes a Weibull distribution, which is often used to describe the
mortality, lifespan, or size distribution of objects.

static class 
WeibullDistribution.CDF
CDF of the Weibull distribution

static class 
WeibullDistribution.PDF
PDF of the Weibull distribution

class 
YuleSimonDistribution
The YuleSimon distribution is a model of preferential attachment, such as
a model of the number of groups follows a powerlaw distribution
(Zipf's Law).

static class 
YuleSimonDistribution.CDF
CDF of the YuleSimon Distribution

static class 
YuleSimonDistribution.PMF
PMF of the YuleSimon Distribution
