International audienceA decision maker has to choose one of several random variables, with uncertainty known distributions. As a Bayesian she behaves as if she knew the distributions. In his paper we suggest an axiomatic derivation of these (subjective) distributions, which is much more economical than the derivations by de Finetti or Savage. They derive the whole joint distribution of all the available random variables
The paper suggests a behavioural definition of (subjective) ambiguity in an abstract setting where o...
In this chapter, we consider the problem of the elicitation and specification of an uncertainty dist...
This paper provides an axiomatic model based on an extraneous random device generating objective pro...
International audienceA decision maker has to choose one of several random variables, with uncertain...
Our methodology is based on the premise that expertise does not reside in the stochastic characteris...
. Several attempts have been made to give an objective definition of subjective probability. These a...
A motto in a number of disciplines seems to be 'Measure it several times (with different devices). T...
A serious problem in many decision analyses is posed by the difficulty people experience when they a...
International audienceThis paper studies decision-making in the face of two stochastically independe...
In 1963, Anscombe and Aumann demonstrated that the introduction of an objective randomizing device i...
Consider a sequence of decision problems S1, S2, ... and suppose that in problem Si the statistician...
This paper develops the first model of probabilistic choice under subjective uncertainty (when proba...
setting where objects of choice are Savage-style acts. Then axioms are described that deliver probab...
In this thesis, we investigate the properties of Bayesian methods. In particular, we want to give fr...
Abstract This paper extends the analytical framework of Keywords: Bayesian decision theory, subject...
The paper suggests a behavioural definition of (subjective) ambiguity in an abstract setting where o...
In this chapter, we consider the problem of the elicitation and specification of an uncertainty dist...
This paper provides an axiomatic model based on an extraneous random device generating objective pro...
International audienceA decision maker has to choose one of several random variables, with uncertain...
Our methodology is based on the premise that expertise does not reside in the stochastic characteris...
. Several attempts have been made to give an objective definition of subjective probability. These a...
A motto in a number of disciplines seems to be 'Measure it several times (with different devices). T...
A serious problem in many decision analyses is posed by the difficulty people experience when they a...
International audienceThis paper studies decision-making in the face of two stochastically independe...
In 1963, Anscombe and Aumann demonstrated that the introduction of an objective randomizing device i...
Consider a sequence of decision problems S1, S2, ... and suppose that in problem Si the statistician...
This paper develops the first model of probabilistic choice under subjective uncertainty (when proba...
setting where objects of choice are Savage-style acts. Then axioms are described that deliver probab...
In this thesis, we investigate the properties of Bayesian methods. In particular, we want to give fr...
Abstract This paper extends the analytical framework of Keywords: Bayesian decision theory, subject...
The paper suggests a behavioural definition of (subjective) ambiguity in an abstract setting where o...
In this chapter, we consider the problem of the elicitation and specification of an uncertainty dist...
This paper provides an axiomatic model based on an extraneous random device generating objective pro...