3 papers
math.PR2026
Computing Lower and Upper Hitting Probabilities for Imprecise Markov Chains
Marco Sangalli, Erik Quaeghebeur, Thomas Krak
We study the computation of lower and upper probabilities of hitting a target set of states for imprecise Markov chains, where transition uncertainty is modelled by a convex set of…
math.PR2025
Upper Expected Meeting Times for Interdependent Stochastic Agents
Marco Sangalli, Erik Quaeghebeur, Thomas Krak
We analyse the problem of meeting times for interdependent stochastic agents: random walkers whose behaviour is stochastic but controlled by their selections from some set of allow…
cs.AI2025
Towards conservative inference in credal networks using belief functions: the case of credal chains
Marco Sangalli, Thomas Krak, Cassio de Campos
This paper explores belief inference in credal networks using Dempster-Shafer theory. By building on previous work, we propose a novel framework for propagating uncertainty through…