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Feasible joint posterior beliefs (through examples)

Feasible joint posterior beliefs (through examples) Through a sequence of examples, we survey the main results of "Feasible Joint Posterior Beliefs" [Arieli, Babichenko, Sandomirskiy, Tamuz 2021]. A group of agents share a common prior distribution regarding a binary state, and observe some information structure. What are the possible joint distributions of their posteriors? We discuss feasibility of product distributions, correlation of posteriors in feasible distributions, extreme feasible distributions and the characterization of feasibility in terms of a "no-trade" condition. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png ACM SIGecom Exchanges Association for Computing Machinery

Feasible joint posterior beliefs (through examples)

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Publisher
Association for Computing Machinery
Copyright
Copyright © 2021 Copyright is held by the owner/author(s)
ISSN
1551-9031
eISSN
1551-9031
DOI
10.1145/3476436.3476442
Publisher site
See Article on Publisher Site

Abstract

Through a sequence of examples, we survey the main results of "Feasible Joint Posterior Beliefs" [Arieli, Babichenko, Sandomirskiy, Tamuz 2021]. A group of agents share a common prior distribution regarding a binary state, and observe some information structure. What are the possible joint distributions of their posteriors? We discuss feasibility of product distributions, correlation of posteriors in feasible distributions, extreme feasible distributions and the characterization of feasibility in terms of a "no-trade" condition.

Journal

ACM SIGecom ExchangesAssociation for Computing Machinery

Published: Jul 16, 2021

Keywords: Bayesian persuasion

References