International audienceThe need to propagate uncertainties through a model is present in many applications. In most cases, the nature of this model is either graphical or functional. In this paper, we interest ourselves to the latter case. We consider here that uncertainty on each model input is described either by generalized p-boxes or possibility distributions, two special cases of random sets that can be interpreted in term of condence bounds over nested sets. We then study their practical propagation for different cases
We explore the relationship between p-boxes on totally preordered spaces and possibility measures. W...
Abstract. Given an imprecise probabilistic model over a continuous space, computing lower/upper expe...
International audienceSeveral methods for the practical representation of imprecise probabilities ex...
International audienceThe need to propagate uncertainties through a model is present in many applica...
Pre-print of final version.International audienceThere exist several simple representations of uncer...
AbstractThere exist several simple representations of uncertainty that are easier to handle than mor...
Recently, we have introduced an uncertainty represen-tation generalising imprecise cumulative distri...
International audienceThere exist many simple tools for jointly capturing variability and incomplete...
AbstractThere exist many simple tools for jointly capturing variability and incomplete information b...
There are many practical representations of probability families that make them easier to handle in ...
ABSTRACT: Advanced simulations, such as finite element methods, are routinely used to model the be-h...
Advanced simulations, such as finite element methods, are routinely used to model the behaviour of p...
We explore the relationship between p-boxes on totally preordered spaces and possibility measures. W...
Abstract. Given an imprecise probabilistic model over a continuous space, computing lower/upper expe...
International audienceSeveral methods for the practical representation of imprecise probabilities ex...
International audienceThe need to propagate uncertainties through a model is present in many applica...
Pre-print of final version.International audienceThere exist several simple representations of uncer...
AbstractThere exist several simple representations of uncertainty that are easier to handle than mor...
Recently, we have introduced an uncertainty represen-tation generalising imprecise cumulative distri...
International audienceThere exist many simple tools for jointly capturing variability and incomplete...
AbstractThere exist many simple tools for jointly capturing variability and incomplete information b...
There are many practical representations of probability families that make them easier to handle in ...
ABSTRACT: Advanced simulations, such as finite element methods, are routinely used to model the be-h...
Advanced simulations, such as finite element methods, are routinely used to model the behaviour of p...
We explore the relationship between p-boxes on totally preordered spaces and possibility measures. W...
Abstract. Given an imprecise probabilistic model over a continuous space, computing lower/upper expe...
International audienceSeveral methods for the practical representation of imprecise probabilities ex...