130 citations · 357 across the 15 of their papers we have counts for
6 papers · 1 filter
A geometric and game-theoretic study of the conjunction of possibility measures
Enrique Miranda, Matthias C. M. Troffaes, Sebastien Destercke
In this paper, we study the conjunction of possibility measures when they are interpreted as coherent upper probabilities, that is, as upper bounds for some set of probability meas…
On the connection between probability boxes and possibility measures
Matthias C. M. Troffaes, Enrique Miranda, Sebastien Destercke
We explore the relationship between possibility measures (supremum preserving normed measures) and p-boxes (pairs of cumulative distribution functions) on totally preordered spaces…
Probability boxes on totally preordered spaces for multivariate modelling
Matthias C. M. Troffaes, Sebastien Destercke
A pair of lower and upper cumulative distribution functions, also called probability box or p-box, is among the most popular models used in imprecise probability theory. They arise…
Computing Expectations with Continuous P-Boxes: Univariate Case
L. Utkin, S. Destercke
Given an imprecise probabilistic model over a continuous space, computing lower/upper expectations is often computationally hard to achieve, even in simple cases. Because expectati…
Unifying Practical Uncertainty Representations: II. Clouds
Sebastien Destercke, Didier Dubois, Eric Chojnacki
There exist many simple tools for jointly capturing variability and incomplete information by means of uncertainty representations. Among them are random sets, possibility distribu…
Unifying Practical Uncertainty Representations: I. Generalized P-Boxes
Sebastien Destercke, Didier Dubois, Eric Chojnacki
There exist several simple representations of uncertainty that are easier to handle than more general ones. Among them are random sets, possibility distributions, probability inter…