The Annals of Statistics
- Ann. Statist.
- Volume 42, Number 3 (2014), 1003-1028.
Merging and testing opinions
We study the merging and the testing of opinions in the context of a prediction model. In the absence of incentive problems, opinions can be tested and rejected, regardless of whether or not data produces consensus among Bayesian agents. In contrast, in the presence of incentive problems, opinions can only be tested and rejected when data produces consensus among Bayesian agents. These results show a strong connection between the testing and the merging of opinions. They also relate the literature on Bayesian learning and the literature on testing strategic experts.
Ann. Statist., Volume 42, Number 3 (2014), 1003-1028.
First available in Project Euclid: 20 May 2014
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Pomatto, Luciano; Al-Najjar, Nabil; Sandroni, Alvaro. Merging and testing opinions. Ann. Statist. 42 (2014), no. 3, 1003--1028. doi:10.1214/14-AOS1212. https://projecteuclid.org/euclid.aos/1400592650