77 citations · 111 across the 5 of their papers we have counts for
5 papers
Sensitivity analysis for finite Markov chains in discrete time
Gert de Cooman, Filip Hermans, Erik Quaeghebeur
When the initial and transition probabilities of a finite Markov chain in discrete time are not well known, we should perform a sensitivity analysis. This is done by considering as…
Accept & Reject Statement-Based Uncertainty Models
Erik Quaeghebeur, Gert de Cooman, Filip Hermans
We develop a framework for modelling and reasoning with uncertainty based on accept and reject statements about gambles. It generalises the frameworks found in the literature based…
Epistemic irrelevance in credal nets: the case of imprecise Markov trees
Gert de Cooman, Filip Hermans, Alessandro Antonucci +1
We focus on credal nets, which are graphical models that generalise Bayesian nets to imprecise probability. We replace the notion of strong independence commonly used in credal net…
Imprecise probability trees: Bridging two theories of imprecise probability
Gert de Cooman, Filip Hermans
We give an overview of two approaches to probability theory where lower and upper probabilities, rather than probabilities, are used: Walley's behavioural theory of imprecise proba…
Imprecise Markov chains and their limit behaviour
Gert de Cooman, Filip Hermans, Erik Quaeghebeur
When the initial and transition probabilities of a finite Markov chain in discrete time are not well known, we should perform a sensitivity analysis. This can be done by considerin…