Robust Decentralized Detection and Social Learning in Tandem Networks
We study a tandem of agents who make decisions about an underlying binary hypothesis, where the distribution of the agent observations under each hypothesis comes from an uncertainty class defined by a 2-alternating capacity. We investigate both decentralized detection rules, where agents collaborat...
Hoofdauteurs: | , , , |
---|---|
Andere auteurs: | |
Formaat: | Journal Article |
Taal: | English |
Gepubliceerd in: |
2017
|
Onderwerpen: | |
Online toegang: | https://hdl.handle.net/10356/81417 http://hdl.handle.net/10220/43461 |