Uses of Interface
de.unihalle.informatik.MiToBo.math.distributions.interfaces.ConditionalDistribution

Packages that use ConditionalDistribution

Package	Description
de.unihalle.informatik.MiToBo.math.distributions.impl
de.unihalle.informatik.MiToBo.tracking.multitarget.distributions.abstracts
de.unihalle.informatik.MiToBo.tracking.multitarget.distributions.impl

Uses of ConditionalDistribution in de.unihalle.informatik.MiToBo.math.distributions.impl

Classes in de.unihalle.informatik.MiToBo.math.distributions.impl that implement ConditionalDistribution

Modifier and Type	Class and Description
class	PoissonDistribution Poisson distribution.

Uses of ConditionalDistribution in de.unihalle.informatik.MiToBo.tracking.multitarget.distributions.abstracts

Classes in de.unihalle.informatik.MiToBo.tracking.multitarget.distributions.abstracts that implement ConditionalDistribution

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.
class	AbstractMultiStateTransitionDistribution<T extends Copyable<?>> Abstract class for multi-target state transition distributions.
class	AbstractMultiStateTransitionDistributionIndep<T extends Copyable<?>> Abstract class of multi-target state transition distribution with independent targets.

Uses of ConditionalDistribution in de.unihalle.informatik.MiToBo.tracking.multitarget.distributions.impl

Classes in de.unihalle.informatik.MiToBo.tracking.multitarget.distributions.impl that implement ConditionalDistribution

Modifier and Type	Class and Description
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	MultiStateLinTransDistributionIndepGaussians<T extends Copyable<?>> A simple multi state-transition density, which assumes independence of the single states and multivariate Gaussian process noise.