International audienceThis paper provides a model of belief representation in which ambiguity and unambiguity are endogenously distinguished in a purely subjective setting where objects of choices are, as usual, maps from states to consequences. Specifically, I first extend the maxmin expected utility theory and get a representation of beliefs such that the probabilistic beliefs over each ambiguous event are represented by a non-degenerate interval, while the ones over each unambiguous event are represented by a number. I then consider a class of the biseparable preferences. Two representation results are achieved and can be used to identify the unambiguity in the context of the biseparable preferences. Finally a subjective definition of am...
International audienceWe model decision making under ambiguity based on available data. Decision mak...
We axiomatize a model of decision under objective ambiguity or imprecise risk. The decision maker fo...
International audienceWe review recent advances in the field of decision making under uncertainty or...
International audienceThis paper provides a model of belief representation in which ambiguity and un...
International audienceThis paper provides a model of beliefs representation in which ambiguity and u...
Coherent imprecise probabilistic beliefs are modelled as incomplete comparative likelihood relations...
This is a survey of some of the recent decision-theoretic literature involving beliefs that cannot b...
We propose and axiomatize a model of preferences over acts such that the decision maker evaluates ac...
Many decisions involve both imprecise probabilities and intractable states of the world. Ob-jective ...
In this paper, the assumption of monotonicity of Anscombe and Aumann (1963) is replaced by a weaker ...
The paper suggests a behavioural definition of (subjective) ambiguity in an abstract setting where o...
We propose a class of multiple-prior representations of preferences under ambiguity where the belief...
The objective of this paper is to show how ambiguity, and a decision maker (DM)’s response to it, ca...
International audienceThis paper proposes a notion of ambiguity aversion and characterizes it in the...
This paper extends the subjective expected utility model of decision making under uncertainty to inc...
International audienceWe model decision making under ambiguity based on available data. Decision mak...
We axiomatize a model of decision under objective ambiguity or imprecise risk. The decision maker fo...
International audienceWe review recent advances in the field of decision making under uncertainty or...
International audienceThis paper provides a model of belief representation in which ambiguity and un...
International audienceThis paper provides a model of beliefs representation in which ambiguity and u...
Coherent imprecise probabilistic beliefs are modelled as incomplete comparative likelihood relations...
This is a survey of some of the recent decision-theoretic literature involving beliefs that cannot b...
We propose and axiomatize a model of preferences over acts such that the decision maker evaluates ac...
Many decisions involve both imprecise probabilities and intractable states of the world. Ob-jective ...
In this paper, the assumption of monotonicity of Anscombe and Aumann (1963) is replaced by a weaker ...
The paper suggests a behavioural definition of (subjective) ambiguity in an abstract setting where o...
We propose a class of multiple-prior representations of preferences under ambiguity where the belief...
The objective of this paper is to show how ambiguity, and a decision maker (DM)’s response to it, ca...
International audienceThis paper proposes a notion of ambiguity aversion and characterizes it in the...
This paper extends the subjective expected utility model of decision making under uncertainty to inc...
International audienceWe model decision making under ambiguity based on available data. Decision mak...
We axiomatize a model of decision under objective ambiguity or imprecise risk. The decision maker fo...
International audienceWe review recent advances in the field of decision making under uncertainty or...