de.unihalle.informatik.MiToBo.math.distributions.interfaces
Interface LogIndependentlyEvaluatableDistribution<T>

Type Parameters:
T - Random set
All Known Implementing Classes:
AbstractMultiObservationDistributionIndep, MultiObsDistributionIndepGaussians, MultiObsDistributionIndepGaussMix

@ALDMetaInfo(export=ALLOWED)
public interface LogIndependentlyEvaluatableDistribution<T>

Interface for densities p(X) with independent variables in X, that can be evaluated (natural logarithm) for each element in the realization x of its random variable X. p(x) = p_1(x_1) * ... * p_n(x_n)

Author:
Oliver Gress

Method Summary
 double log_p(T x, int i)
          Evaluate log(p_i(X)) at x_i
 

Method Detail

log_p

double log_p(T x,
             int i)
Evaluate log(p_i(X)) at x_i

Parameters:
x - realization of random variable X
i - i-th element in x
Returns:
value of log(p_i(X_i)) at x_i


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