Overdrawing Urns using Categories of Signed Probabilities
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Abstract (arXiv)
A basic experiment in probability theory is drawing without replacement from an urn filled with multiple balls of different colours. Clearly, it is physically impossible to overdraw, that is, to draw more balls from the urn than it contains. This paper demonstrates that overdrawing does make sense mathematically, once we allow signed distributions with negative probabilities. A new (conservative) extension of the familiar hypergeometric ('draw-and-delete') distribution is introduced that allows draws of arbitrary sizes, including overdraws. The underlying theory makes use of the dual basis functions of the Bernstein polynomials, which play a prominent role in computer graphics. Negative probabilities are treated systematically in the framework of categorical probability and the central role of datastructures such as multisets and monads is emphasised.
Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 5 of its 24 references that are in the map. First posted on arXiv 14 Dec 2023.
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5 of 24 references.
References · 5
- 2019A synthetic approach to Markov kernels, conditional independence and theorems on sufficient statisticscited by 56
- 2017Disintegration and Bayesian Inversion via String Diagramscited by 32
- 2017A Channel-Based Perspective on Conjugate Priorscited by 6
- 2021From Multisets over Distributions to Distributions over Multisetscited by 2
- 2020Negative probabilities: What they are and what they are forcited by 1
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