TY  - GEN
AB  - This paper extends decision theory under imprecise probabilistic information to dynamic settings. We explore the relationship between the given objective probabilistic
information, an agent's subjective multiple priors, and updating. Dynamic consistency implies rectangular sets of priors at the subjective level. As the objective probabilistic information need not be consistent with rectangularity at the subjective level, agents might select priors outside the objective probabilistic information while respecting the support of the given set of priors. Under suitable additional axioms, the subjective set of priors belongs to the rectangular hull of the objective probabilistic information.
DA  - 2017
KW  - Imprecise information
KW  - imprecision aversion
KW  - multiple priors
KW  - dynamic consistency
LA  - eng
PY  - 2017
SN  - 0931-6558
TI  - Dynamically consistent preferences under imprecise probabilistic information
UR  - https://nbn-resolving.org/urn:nbn:de:0070-pub-29105813
Y2  - 2024-11-22T05:25:58
ER  -