1 citations · 2 across the 5 of their papers we have counts for
5 papers
A Fresh Look at Bivariate Binomial Distributions
Bart Jacobs
Binomial distributions capture the probabilities of `heads' outcomes when a (biased) coin is tossed multiple times. The coin may be identified with a distribution on the two-elemen…
Compositional Inference for Bayesian Networks and Causality
Bart Jacobs, Márk Széles, Dario Stein
Inference is a fundamental reasoning technique in probability theory. When applied to a large joint distribution, it involves updating with evidence (conditioning) in one or more c…
Discrete Boltzmann distributions via multisets and their coefficients
Bart Jacobs
This paper investigates the combinatorics that gives rise to the Boltzmann probability distribution. Despite being one of the most important distributions in physics and other fiel…
Overdrawing Urns using Categories of Signed Probabilities
Bart Jacobs, Dario Stein
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 overdra…
Pearl's and Jeffrey's Update as Modes of Learning in Probabilistic Programming
Bart Jacobs, Dario Stein
The concept of updating a probability distribution in the light of new evidence lies at the heart of statistics and machine learning. Pearl's and Jeffrey's rule are two natural upd…