7 citations · 16 across the 11 of their papers we have counts for
6 papers · 1 filter
A Particular Upper Expectation as Global Belief Model for Discrete-Time Finite-State Uncertain Processes
Natan T'Joens, Jasper De Bock, Gert de Cooman
To model discrete-time finite-state uncertain processes, we argue for the use of a global belief model in the form of an upper expectation that is the most conservative one under a…
Inference with Choice Functions Made Practical
Arne Decadt, Jasper De Bock, Gert de Cooman
We study how to infer new choices from previous choices in a conservative manner. To make such inferences, we use the theory of choice functions: a unifying mathematical framework…
Computable randomness is about more than probabilities
Floris Persiau, Jasper De Bock, Gert de Cooman
We introduce a notion of computable randomness for infinite sequences that generalises the classical version in two important ways. First, our definition of computable randomness i…
Choice functions based on sets of strict partial orders: an axiomatic characterisation
Jasper De Bock
Methods for choosing from a set of options are often based on a strict partial order on these options, or on a set of such partial orders. I here provide a very general axiomatic c…
Limit Behaviour of Upper and Lower Expected Time Averages in Discrete-Time Imprecise Markov Chains
Natan T'Joens, Jasper De Bock
We study the limit behaviour of upper and lower bounds on expected time averages in imprecise Markov chains; a generalised type of Markov chain where the local dynamics, traditiona…
Archimedean Choice Functions: an Axiomatic Foundation for Imprecise Decision Making
Jasper De Bock
If uncertainty is modelled by a probability measure, decisions are typically made by choosing the option with the highest expected utility. If an imprecise probability model is use…