Sentence examples for between two probability distributions from inspiring English sources

For example, T-test and relative entropy are used for detecting difference between two probability distributions.

The proposed detection method uses the Hellinger distance between two probability distributions generated from training and testing data to detect starvation.

In the literature, BD is used as a dissimilarity measure between two probability distributions.

The Kullback-Leibler (KL) divergence is an information-theoretically motivated measure between two probability distributions.

However, the Euclidean distance is not a good metric for computing similarity between two probability distributions.

In the statistics, Bhattacharyya distance will measure the similarity between two probability distributions.

There are many methods of measuring the difference between two probability distribution vectors, such as Euclidean distance, Manhattan distance and Kullback Leibler divergence, etc.

The square root of the Jensen-Shannon divergence quantifies the difference between two probability distribution functions (PDFs) and it is a metric (we refer the reader to the Methods section for a mathematical definition and a discussion of its properties).

In statistical theory, the Hellinger distance measures the similarity between two probability distribution functions, by calculating the overlap between the distributions.

Relative entropy is the measure of divergence between the two probability distributions of residues.

It can also be shown that this distance is the largest possible difference between the probabilities that the two probability distributions can assign to the same event.