Bayesian posteriors for arbitrarily rare events
We study how much data a Bayesian observer needs to correctly infer the relative likelihoods of two events when both events are arbitrarily rare. Each period, either a blue die or a red die is tossed. The two dice land on side 1 with unknown probabilities p[subscript 1] and q[subscript 1], which can...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Article |
| Published: |
National Academy of Sciences
2018
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| Online Access: | http://hdl.handle.net/1721.1/113241 |