Ambiguity in the ordinary language sense means that available information is open to multiple interpretations. We model this by assuming that individuals are unaware of some possibilities relevant to the outcome of their decisions and that multiple probabilities may arise over an individual's subjective state space depending on which of these possibilities are realized. We formalize a notion of coherent multiple priors and derive a representation result that with full awareness corresponds to the usual unique (Bayesian) prior but with less than full awareness generates multiple priors. When information is received with no change in awareness, each element of the set of priors is updated in the standard Bayesian fashion (that is, full Bayesi...
Contains fulltext : 162256pre.pdf (preprint version ) (Open Access) ...
The recent spate of theoretical models of behaviour under ambiguity can be partitioned into two sets...
show that ambiguity-averse decision functionals matched with the multiple-prior learning model are m...
International audienceAmbiguity in the ordinary language sense means that available information is o...
The existing models of Bayesian learning with multiple priors by Marinacci (Stat Pap 43:145–151, 200...
Abstract Popular models for decision making under ambiguity assume that people use not one but multi...
The paper provides a notion of measurability for Multiple Prior Models characterized by nonatomic co...
We model inter-temporal ambiguity as the scenario in which a Bayesian learner holds more than one pr...
The paper provides a notion of measurability which is suited for a class of Multiple Prior Models. T...
We develop a tractable method to estimate multiple prior models of decisionmaking under ambiguity. ...
This paper provides a multiple-priors representation of ambiguous beliefs à la Ghirardato, Maccheron...
The recent spate of theoretical models of behaviour under ambiguity can be partitioned into two sets...
Abstract. This note contains first thoughts on awareness of unawareness in a simple dynamic context ...
Abstract. This note contains first thoughts on awareness of unawareness in a simple dynamic context ...
markdownabstractWe develop a tractable method to estimate multiple prior models of decision-making u...
Contains fulltext : 162256pre.pdf (preprint version ) (Open Access) ...
The recent spate of theoretical models of behaviour under ambiguity can be partitioned into two sets...
show that ambiguity-averse decision functionals matched with the multiple-prior learning model are m...
International audienceAmbiguity in the ordinary language sense means that available information is o...
The existing models of Bayesian learning with multiple priors by Marinacci (Stat Pap 43:145–151, 200...
Abstract Popular models for decision making under ambiguity assume that people use not one but multi...
The paper provides a notion of measurability for Multiple Prior Models characterized by nonatomic co...
We model inter-temporal ambiguity as the scenario in which a Bayesian learner holds more than one pr...
The paper provides a notion of measurability which is suited for a class of Multiple Prior Models. T...
We develop a tractable method to estimate multiple prior models of decisionmaking under ambiguity. ...
This paper provides a multiple-priors representation of ambiguous beliefs à la Ghirardato, Maccheron...
The recent spate of theoretical models of behaviour under ambiguity can be partitioned into two sets...
Abstract. This note contains first thoughts on awareness of unawareness in a simple dynamic context ...
Abstract. This note contains first thoughts on awareness of unawareness in a simple dynamic context ...
markdownabstractWe develop a tractable method to estimate multiple prior models of decision-making u...
Contains fulltext : 162256pre.pdf (preprint version ) (Open Access) ...
The recent spate of theoretical models of behaviour under ambiguity can be partitioned into two sets...
show that ambiguity-averse decision functionals matched with the multiple-prior learning model are m...