Active learning with a misspecified prior
We study learning and information acquisition by a Bayesian agent whose prior belief is misspecified in the sense that it assigns probability 0 to the true state of the world. At each instant, the agent takes an action and observes the corresponding payoff, which is the sum of a fixed but unknown fu...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
The Econometric Society,
2018-03-02T21:32:13Z.
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| Subjects: | |
| Online Access: | Get fulltext |