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...
主要作者: | |
---|---|
其他作者: | |
格式: | Thesis |
語言: | English |
出版: |
2019
|
主題: | |
在線閱讀: | https://hdl.handle.net/10356/85449 http://hdl.handle.net/10220/50121 |