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LATENT REFERENCES / TAG2

Poisson Distribution

Archive curator and editor: Keigo Yoshida

This reference note belongs to Tag2 in Latent References, an archive curated by Keigo Yoshida. Its archive region is Statistics · Inference. The note preserves its source text and links so that readers can trace the material behind the 3D map.

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Tag2
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Statistics · Inference

Archived reference note

English translation of the archived note. JP shows the original text. Source links and literal code are retained; the translation does not update or independently verify the source claims.

The Poisson distribution used in statistics and probability theory is a discrete probability distribution representing the number of times an event occurs within a fixed period. Mathematician Siméon Denis Poisson published it together with probability theory in 1838. For a discrete event, the Poisson distribution gives the probability of the number of occurrences within a given time, while the exponential distribution gives the probability of intervals between occurrences.

Source updated 2023-07-30 · Snapshot 2026-10-08

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The text describes a discrete distribution of event counts within a time interval.

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