English

Overdrawing Urns using Categories of Signed Probabilities

Probability 2023-12-21 v1 Machine Learning Logic in Computer Science

Abstract

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.

Keywords

Cite

@article{arxiv.2312.12453,
  title  = {Overdrawing Urns using Categories of Signed Probabilities},
  author = {Bart Jacobs and Dario Stein},
  journal= {arXiv preprint arXiv:2312.12453},
  year   = {2023}
}

Comments

In Proceedings ACT 2023, arXiv:2312.08138

R2 v1 2026-06-28T13:56:37.178Z