Learning models in social networks
This thesis studies the problem of modeling learning through a set of agents connected via a social network. We first analyze a robust detection problem in a tandem network where agents sequentially receive private signals about the state of the world, as well as the decision of their predecesso...
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| Format: | Thesis |
| Language: | English |
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2019
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| Online Access: | https://hdl.handle.net/10356/85449 http://hdl.handle.net/10220/50121 |