We propose and axiomatically characterize dynamically consistent update rules for decision making under ambiguity. These rules apply to the preferences with multiple priors of Gilboa and Schmeidler (1989), and are the first, for anymodel of preferences over acts, to be able to reconcile typical behavior in the face of ambi-guity (as exemplified by Ellsberg’s paradox) with dynamic consistency for all non-null events. Updating takes the form of applying Bayes ’ rule to subsets of the set of priors, where the specific subset depends on the preferences, the condition-ing event, and the choice problem (i.e., a feasible set of acts together with an act chosen from that set)
This paper extends decision theory under imprecise probabilistic information to dynamic settings. We...
This paper extends decision theory under imprecise probabilistic information to dynamic settings. We...
This paper extends decision theory under imprecise probabilistic information to dynamic settings. We...
[This item is a preserved copy. To view the original, visit http://econtheory.org/] We pr...
[This item is a preserved copy. To view the original, visit http://econtheory.org/] We pr...
We propose and axiomatically characterize dynamically consistent update rules for decision making un...
Dynamic consistency leads to Bayesian updating under expected utility. We ask what it implies for th...
When preferences are such that there is no unique additive prior, the issue of which updating rule t...
First draft—Comments welcome! A characterization of “generalized Bayesian updating ” in a maxmin exp...
AbstractThis paper develops algorithms for dynamically consistent updating of ambiguous beliefs in t...
International audienceWe present and axiomatize several update rules for probabilities (and preferen...
International audienceWe present and axiomatize several update rules for probabilities (and preferen...
Riedel F, Tallon J-M, Vergopoulos V. Dynamically consistent preferences under imprecise probabilisti...
This paper extends decision theory under imprecise probabilistic information to dynamic settings. We...
This paper extends decision theory under imprecise probabilistic information to dynamic settings. We...
This paper extends decision theory under imprecise probabilistic information to dynamic settings. We...
This paper extends decision theory under imprecise probabilistic information to dynamic settings. We...
This paper extends decision theory under imprecise probabilistic information to dynamic settings. We...
[This item is a preserved copy. To view the original, visit http://econtheory.org/] We pr...
[This item is a preserved copy. To view the original, visit http://econtheory.org/] We pr...
We propose and axiomatically characterize dynamically consistent update rules for decision making un...
Dynamic consistency leads to Bayesian updating under expected utility. We ask what it implies for th...
When preferences are such that there is no unique additive prior, the issue of which updating rule t...
First draft—Comments welcome! A characterization of “generalized Bayesian updating ” in a maxmin exp...
AbstractThis paper develops algorithms for dynamically consistent updating of ambiguous beliefs in t...
International audienceWe present and axiomatize several update rules for probabilities (and preferen...
International audienceWe present and axiomatize several update rules for probabilities (and preferen...
Riedel F, Tallon J-M, Vergopoulos V. Dynamically consistent preferences under imprecise probabilisti...
This paper extends decision theory under imprecise probabilistic information to dynamic settings. We...
This paper extends decision theory under imprecise probabilistic information to dynamic settings. We...
This paper extends decision theory under imprecise probabilistic information to dynamic settings. We...
This paper extends decision theory under imprecise probabilistic information to dynamic settings. We...
This paper extends decision theory under imprecise probabilistic information to dynamic settings. We...