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Dynamic Consistency in Incomplete Information Games with Multiple Priors

Dynamic consistency in incomplete information games with multiple priors
descriptionPublicationkeyboard_double_arrow_right Article , Other literature type , Research 01 Jan 2020 Germany English Publisher:Elsevier BVJournal:SSRN Electronic Journal (eissn: 1556-5068, Copyright policy )
Authors: Marieke Pahlke;

doi: 10.2139/ssrn.3766715 , 10.1016/j.geb.2022.02.004

handle: 10419/201624

Dynamic Consistency in Incomplete Information Games with Multiple Priors

Abstract

zbMATH Open Web Interface contents unavailable due to conflicting licenses.

Country
Germany
Related Organizations
Keywords

D81, dynamic consistency, multiple priors, C73, 330, ddc:330, ambiguity, Multistage and repeated games, sequential equilibrium, imprecise information, Games with incomplete information, Bayesian games

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    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 10
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    		 Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    		 Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
10
Top 10%
Average
Top 10%
Green
bronze