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

Packages that use ConditionalDistribution
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
 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
 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
 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.
 



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