Complexity of Bayesian Belief Exchange over a Network
Many important real-world decision making prob- lems involve group interactions among individuals with purely informational externalities, such situations arise for example in jury deliberations, expert committees, medical diagnosis, etc. In this paper, we will use the framework of iterated eliminat...
Main Authors: | Mossel, Elchanan, Rahimian, Mohammad Amin, Jadbabaie-Moghadam, Ali |
---|---|
Other Authors: | Massachusetts Institute of Technology. Department of Civil and Environmental Engineering |
Format: | Article |
Language: | en_US |
Published: |
Institute of Electrical and Electronics Engineers (IEEE)
2018
|
Online Access: | http://hdl.handle.net/1721.1/116568 |
Similar Items
-
Bayesian Decision Making in Groups is Hard
by: Hązła, Jan, et al.
Published: (2021) -
Bayesian Learning Without Recall
by: Jadbabaie, Ali, et al.
Published: (2018) -
Distributed estimation and learning over heterogeneous networks
by: Rahimian, Mohammad Amin, et al.
Published: (2017) -
Seeding with Costly Network Information
by: Eckles, Dean, et al.
Published: (2022) -
Linear sketching over F<inf>2</inf>
by: Kannan, Sampath, et al.
Published: (2021)