activity
20152025
most citedRepresentable Markov Categories and Comparison of Statistical Experiments in Categorical Probability

28 citations · 159 across the 26 of their papers we have counts for

collaborators
Showing math.PRShow all

7 papers · 1 filter

math.PR2025

Empirical Measures and Strong Laws of Large Numbers in Categorical Probability

Tobias Fritz, Tomáš Gonda, Antonio Lorenzin +2

The Glivenko--Cantelli theorem is a uniform version of the strong law of large numbers. It states that for every IID sequence of random variables, the empirical measure converges t…

math.PR2023★ 1 cited

Categorical probability spaces, ergodic decompositions, and transitions to equilibrium

Noé Ensarguet, Paolo Perrone

We study a category of probability spaces and measure-preserving Markov kernels up to almost sure equality. This category contains, among its isomorphisms, mod-zero isomorphisms of…

math.PR2023★ 3 cited

Absolute continuity, supports and idempotent splitting in categorical probability

Tobias Fritz, Tomáš Gonda, Antonio Lorenzin +2

Markov categories have recently turned out to be a powerful high-level framework for probability and statistics. They accommodate purely categorical definitions of notions like con…

math.PR2021★ 25 cited

De Finetti's Theorem in Categorical Probability

Tobias Fritz, Tomáš Gonda, Paolo Perrone

We present a novel proof of de Finetti's Theorem characterizing permutation-invariant probability measures of infinite sequences of variables, so-called exchangeable measures. The…

math.PR2018★ 5 cited

Stochastic order on metric spaces and the ordered Kantorovich monad

Tobias Fritz, Paolo Perrone

In earlier work, we had introduced the Kantorovich probability monad on complete metric spaces, extending a construction due to van Breugel. Here we extend the Kantorovich monad fu…

math.PR2018★ 18 cited

Bimonoidal Structure of Probability Monads

Tobias Fritz, Paolo Perrone

We give a conceptual treatment of the notion of joints, marginals, and independence in the setting of categorical probability. This is achieved by endowing the usual probability mo…

math.PR2017

A Probability Monad as the Colimit of Spaces of Finite Samples

Tobias Fritz, Paolo Perrone

We define and study a probability monad on the category of complete metric spaces and short maps. It assigns to each space the space of Radon probability measures on it with finite…