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Furthermore, two probability inequalities on recoverability are established.
Based on this, we define two probability parameters.
Furthermore, define also the following two probability vectors: (6).
For example, T-test and relative entropy are used for detecting difference between two probability distributions.
Two probability models are proposed to generate candidate structures by random perturbations in the upper level.
Two probability density functions are fitted to the measured probability distributions on a yearly basis.
However, the Euclidean distance is not a good metric for computing similarity between two probability distributions.
The channel model can equivalently be described by the following two probability functions: (3).
The test is based on the distance between the two probability density functions.
In the literature, BD is used as a dissimilarity measure between two probability distributions.
The two sample problem tests whether two probability measures and coincide or not.
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