activity
20122025
most citedInterpreting, axiomatising and representing coherent choice functions in terms of desirability

7 citations · 16 across the 11 of their papers we have counts for

collaborators
Showing 2018Show all

5 papers · 1 filter

cs.AI2018

A Desirability-Based Axiomatisation for Coherent Choice Functions

Jasper De Bock, Gert de Cooman

Choice functions constitute a simple, direct and very general mathematical framework for modelling choice under uncertainty. In particular, they are able to represent the set-value…

math.PR2018

Computing Inferences for Large-Scale Continuous-Time Markov Chains by Combining Lumping with Imprecision

Alexander Erreygers, Jasper De Bock

If the state space of a homogeneous continuous-time Markov chain is too large, making inferences - here limited to determining marginal or limit expectations - becomes computationa…

math.PR2018

Independent Natural Extension for Infinite Spaces

Jasper De Bock

We define and study the independent natural extension of two local uncertainty models for the general case of infinite spaces, using the frameworks of sets of desirable gambles and…

math.PR2018

Continuity of the Shafer-Vovk-Ville Operator

Natan T'Joens, Gert de Cooman, Jasper De Bock

Kolmogorovs axiomatic framework is the best-known approach to describing probabilities and, due to its use of the Lebesgue integral, leads to remarkably strong continuity propertie…

stat.ML2018

An Imprecise Probabilistic Estimator for the Transition Rate Matrix of a Continuous-Time Markov Chain

Thomas Krak, Alexander Erreygers, Jasper De Bock

We consider the problem of estimating the transition rate matrix of a continuous-time Markov chain from a finite-duration realisation of this process. We approach this problem in a…