de.unihalle.informatik.MiToBo.tracking.multitarget.distributions.abstracts

Class AbstractMultiObservationDistributionIndep<S extends Copyable<?>,T extends Copyable<?>>

java.lang.Object

de.unihalle.informatik.MiToBo.tracking.multitarget.distributions.abstracts.AbstractMultiObservationDistribution<S,T>

de.unihalle.informatik.MiToBo.tracking.multitarget.distributions.abstracts.AbstractMultiObservationDistributionIndep<S,T>

Type Parameters:

S - Type of discrete variables in the multi target observation

T - Type of discrete variables in the multi target state

All Implemented Interfaces:

ConditionalDistribution<AbstractMultiState<T>>, EvaluatableDistribution<AbstractMultiState<S>>, FirstOrderMoment<AbstractMultiState<T>>, IndependentlyEvaluatableDistribution<AbstractMultiState<S>>, LogEvaluatableDistribution<AbstractMultiState<S>>, LogIndependentlyEvaluatableDistribution<AbstractMultiState<S>>, SecondOrderCentralMoment<Jama.Matrix[]>

Direct Known Subclasses:

MultiObsDistributionIndepGaussians, MultiObsDistributionIndepGaussMix

public abstract class AbstractMultiObservationDistributionIndep<S extends Copyable<?>,T extends Copyable<?>>
extends AbstractMultiObservationDistribution<S,T>
implements IndependentlyEvaluatableDistribution<AbstractMultiState<S>>, LogIndependentlyEvaluatableDistribution<AbstractMultiState<S>>, FirstOrderMoment<AbstractMultiState<T>>, SecondOrderCentralMoment<Jama.Matrix[]>

Abstract class for multi target observation distributions. Used in the Bayesian tracking framework. A distribution of this type represents the probability of a multi target observation given a certain multi target state X: p(Z|X) The distribution can be evaluated independently for components in Z

Author:

Oliver Gress

Field Summary

Fields inherited from class de.unihalle.informatik.MiToBo.tracking.multitarget.distributions.abstracts.AbstractMultiObservationDistribution

condX, factoryX, factoryZ

Constructor Summary

Constructors

Constructor and Description
AbstractMultiObservationDistributionIndep(AbstractMultiState<T> conditionX, AbstractMultiStateFactory<T> factoryX, AbstractMultiStateFactory<S> factoryZ) Constructor to set the condition conditionX, and the factories of multi state and multi observation variables

Method Summary

Modifier and Type	Method and Description
abstract int	getNumOfIndeps()
abstract double	log_p(AbstractMultiState<S> Z) Evaluate natural logarithm of p(X) at location x. log(P(X=x))
abstract double	log_p(AbstractMultiState<S> Z, int i) Evaluate the density independently for observation i in Z conditional on state i in X
abstract double	log_p(AbstractMultiState<S> Z, int i, int j) Evaluate the density independently for observation i in Z conditional on state j in X
abstract double	p(AbstractMultiState<S> Z) Evaluate p(X) at location x.
abstract double	p(AbstractMultiState<S> Z, int i) Evaluate the density independently for observation i in Z conditional on state i in X
abstract double	p(AbstractMultiState<S> Z, int i, int j) Evaluate the density independently for observation i in Z conditional on state j in X

Methods inherited from class de.unihalle.informatik.MiToBo.tracking.multitarget.distributions.abstracts.AbstractMultiObservationDistribution

getCondition, setCondition

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Methods inherited from interface de.unihalle.informatik.MiToBo.math.distributions.interfaces.FirstOrderMoment

getMean

Methods inherited from interface de.unihalle.informatik.MiToBo.math.distributions.interfaces.SecondOrderCentralMoment

getCovariance

Constructor Detail

AbstractMultiObservationDistributionIndep

public AbstractMultiObservationDistributionIndep(AbstractMultiState<T> conditionX,
                                                 AbstractMultiStateFactory<T> factoryX,
                                                 AbstractMultiStateFactory<S> factoryZ)

Constructor to set the condition conditionX, and the factories of multi state and multi observation variables

Parameters:

conditionX -

factoryX -

factoryZ -

Method Detail

p

public abstract double p(AbstractMultiState<S> Z,
                         int i,
                         int j)

Evaluate the density independently for observation i in Z conditional on state j in X

Parameters:

x -

i -

j -

Returns:

p

public abstract double p(AbstractMultiState<S> Z,
                         int i)

Evaluate the density independently for observation i in Z conditional on state i in X

Specified by:

p in interface IndependentlyEvaluatableDistribution<AbstractMultiState<S extends Copyable<?>>>

Parameters:

Z - realization of random variable X

i - i-th element in x

Returns:

value of p_i(X_i) at x_i

p

public abstract double p(AbstractMultiState<S> Z)

Description copied from interface: EvaluatableDistribution

Evaluate p(X) at location x. P(X=x)

Specified by:

p in interface EvaluatableDistribution<AbstractMultiState<S extends Copyable<?>>>

Specified by:

p in class AbstractMultiObservationDistribution<S extends Copyable<?>,T extends Copyable<?>>

Parameters:

Z - realization of random variable X

Returns:

value of p(X) at x

log_p

public abstract double log_p(AbstractMultiState<S> Z,
                             int i,
                             int j)

Evaluate the density independently for observation i in Z conditional on state j in X

Parameters:

x -

i -

j -

Returns:

log_p

public abstract double log_p(AbstractMultiState<S> Z,
                             int i)

Evaluate the density independently for observation i in Z conditional on state i in X

Specified by:

log_p in interface LogIndependentlyEvaluatableDistribution<AbstractMultiState<S extends Copyable<?>>>

Parameters:

Z - realization of random variable X

i - i-th element in x

Returns:

value of log(p_i(X_i)) at x_i

log_p

public abstract double log_p(AbstractMultiState<S> Z)

Description copied from interface: LogEvaluatableDistribution

Evaluate natural logarithm of p(X) at location x. log(P(X=x))

Specified by:

log_p in interface LogEvaluatableDistribution<AbstractMultiState<S extends Copyable<?>>>

Specified by:

log_p in class AbstractMultiObservationDistribution<S extends Copyable<?>,T extends Copyable<?>>

Parameters:

Z - realization of random variable X

Returns:

value of log(p(X)) at x

getNumOfIndeps

public abstract int getNumOfIndeps()