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Total Variation Distance of Probability Measures

Probability and Statistics

The total variation distance is a way of measuring how different two probability distributions are from one another, also known as the statistical distance, statistical difference, or variational distance. It is defined as the largest possible gap between the probabilities that the two distributions assign to the same event, taken over every event that could be considered. Geometrically, when the two distributions are drawn as curves over the same space, the total variation distance equals half of the area lying between the two curves. This description is adapted from Wikipedia contributors under CC BY-SA 4.0; changes were made. https://creativecommons.org/licenses/by-sa/4.0/

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Source Total Variation Distance of Probability Measures (Wikipedia)

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Statistic, Concepts

Entity-backed identity for the object-kind enum value this mathematical object already carries, resolved to a mathematics concept by an explicit value-to-entity map (phase 3 bucket conversion, docs\design_entity_backed_browse_buckets_20260928.md). The object-kind fact itself stays on the object unchanged.

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1. Total Variation Distance of Probability Measures (Wikipedia)
In Branch: Probability and Statistics, Lead sentence
Quote, In Branch: Probability and Statistics, Lead sentence
In probability theory, the total variation distance is a statistical distance between probability distributions, and is sometimes
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