probability theory, and information theory, a statistical distance quantifies the distance between two statistical objects, which can be two random variables... 6 KB (643 words) - 17:20, 5 March 2024 |
The Mahalanobis distance is a measure of the distance between a point P {\displaystyle P} and a distribution D {\displaystyle D} , introduced by P. C... 18 KB (2,578 words) - 14:47, 23 January 2024 |
Kullback–Leibler divergence (redirect from Kullback-Leibler distance) ∥ Q ) {\displaystyle D_{\text{KL}}(P\parallel Q)} , is a type of statistical distance: a measure of how one probability distribution P is different from... 69 KB (11,536 words) - 03:55, 10 April 2024 |
probability and statistics, the Hellinger distance (closely related to, although different from, the Bhattacharyya distance) is used to quantify the similarity... 10 KB (1,780 words) - 14:55, 20 December 2023 |
amount of overlap between two statistical samples or populations. It is not a metric, despite being named a "distance", since it does not obey the triangle... 13 KB (2,116 words) - 03:26, 28 March 2024 |
statistic (singular) or sample statistic is any quantity computed from values in a sample which is considered for a statistical purpose. Statistical purposes... 6 KB (775 words) - 19:01, 25 October 2023 |