Modifier and Type | Class and Description |
---|---|
class |
GaussianDistribution
A multivariate Gaussian distribution.
|
class |
GaussMixDistribution
A multivariate Gaussian mixture distribution.
|
class |
GenericDiscreteDistribution
A generic discrete distribution
|
class |
MixtureDistribution
A distribution represented by a mixture of distributions
|
class |
PoissonDistribution
Poisson distribution.
|
class |
UniformDistribution
A multivariate uniform distribution.
|
Modifier and Type | Interface and Description |
---|---|
interface |
IndependentlyEvaluatableDistribution<T>
Interface for densities p(X) with independent variables in X,
that can be evaluated for each element in the realization x of its random variable X.
|
interface |
ProbabilityDensityFunction
Interface for multivariate distributions that allow evaluation
of their probability density function.
|
interface |
ProbabilityMassFunction
Interface for univariate distributions based on probability mass functions
|
Modifier and Type | Class and Description |
---|---|
class |
AbstractMultiObservationDistribution<S extends Copyable<?>,T extends Copyable<?>>
Abstract class for multi target observation distributions.
|
class |
AbstractMultiObservationDistributionIndep<S extends Copyable<?>,T extends Copyable<?>>
Abstract class for multi target observation distributions.
|
Modifier and Type | Class and Description |
---|---|
class |
AssociationDistribution<S extends TargetID,T extends TargetID>
Association distribution to sample association variables for a set of observations based
on a model of how observations are formed.
|
class |
AssociationDistributionNN<S extends TargetID,T extends TargetID>
Association distribution to sample association variables for a set of observations based
on a model of how observations are formed.
|
class |
MultiObsDistributionIndepGaussians<T extends Copyable<?>>
A simple multi observation density, which assumes independence of the single observations with
multivariate Gaussian noise.
|
class |
MultiObsDistributionIndepGaussMix<T extends Copyable<?>>
A simple multi observation density, which assumes independent Gaussian mixtures as the underlying distributions.
|
class |
MultiStateDistributionIndepGaussians<T extends Copyable<?>>
A simple multi state density, which assumes independence of the single states with
multivariate Gaussian noise.
|
class |
MultiStateLinTransDistributionIndepGaussians<T extends Copyable<?>>
A simple multi state-transition density, which assumes independence of the single states and
multivariate Gaussian process noise.
|
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