Multi-Agent Inference in Social Networks: A Finite Population Learning Approach.
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ABSTRACT:
SUBMITTER: Fan J
PROVIDER: S-EPMC4827608 | biostudies-literature | 2015
REPOSITORIES: biostudies-literature
Publications
Multi-Agent Inference in Social Networks: A Finite Population Learning Approach.
Fan Jianqing J Tong Xin X Zeng Yao Y
Journal of the American Statistical Association 20150422 509
When people in a society want to make inference about some parameter, each person may want to use data collected by other people. Information (data) exchange in social networks is usually costly, so to make reliable statistical decisions, people need to trade off the benefits and costs of information acquisition. Conflicts of interests and coordination problems will arise in the process. Classical statistics does not consider people's incentives and interactions in the data collection process. T ...[more]
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