A Rule For Updating Ambiguous Beliefs
By Cesaltina Pacheco Pires. 2002
175 citations recorded by the source corpus.
Subfields: Artificial Intelligence, General Decision Sciences, Management Science and Operations Research
View Paper: https://www.semanticscholar.org/paper/2f7ae5bb693d8f6361229bc553b07165b4d8b64d
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Massimo Marinacci
- Peter Klibanoff
- Eran Hanany
- Fabio Maccheroni
- Marciano M. Siniscalchi
- Simon Grant
- David Kelsey
- Jürgen Eichberger
In General Decision Sciences
- Marciano M. Siniscalchi
- Peter Klibanoff
- Massimo Marinacci
- Eran Hanany
- Fabio Maccheroni
- Paolo Ghirardato
- Simon Grant
- Jürgen Eichberger
In Management Science and Operations Research
- Marciano M. Siniscalchi
- Massimo Marinacci
- Fabio Maccheroni
- Peter Klibanoff
- Eran Hanany
- Paolo Ghirardato
- Simon Grant
- Jürgen Eichberger
Citations in the corpus
- Vector Expected Utility and Attitudes Toward Variation (2008, background): “12Indeed, this condition may be used to characterize Bayesian updating for EU preferences, as well as prior-by-prior Bayesian updating for MEU preferences: see Pires [42].”
- Updating Ambiguity Averse Preferences (2009, background): “Sarin and Wakker [42], Pires [40], Siniscalchi [50], Wang [57] and Epstein and Schneider [11] formally characterize this update rule using preference axioms in various settings.”
- Updating Choquet Beliefs (2007, methodology): “…rule arises from axioms on the preferences both unconditional and conditional: a nonexhaustive list of examples includes Epstein and Schneider (2003), Gilboa and Schmeidler (1993), Hanany and Klibanoff (2006), Pires (2002), Siniscalchi (2006), Sarin and Wakker (1998), Walley (1991) and Wang (2003).”
- Revealed Ambiguity and Its Consequences: Updating (2008, background): “They are inspired by a result of Pires (2002), who shows that when the primitive preference relations A are 1-MEU, generalized Bayesian updating is characterized by (a condition equivalent to) f A (∼A)x⇐⇒ f Ax (∼)x (11) for all f ∈ F and x ∈ X. Statement (iii) in the proposition departs from…”