Learning from Experts: A Survey
| dc.creator | Valsecchi, Irene | |
| dc.date | 2008-07-18 | |
| dc.date.accessioned | 2026-07-07T09:51:17Z | |
| dc.date.available | 2026-07-07T09:51:17Z | |
| dc.description | The survey is concerned with the issue of information transmission from experts to non-experts. Two main approaches to the use of experts can be traced. According to the game-theoretic approach expertise is a case of asymmetric information between the expert, who is the better informed agent, and the non-expert, who is either a decision-maker or an evaluator of the expert's performance. According to the Bayesian decision-theoretic approach the expert is the agent who announces his probabilistic opinion, and the non-expert has to incorporate that opinion into his beliefs in a consistent way, despite his poor understanding of the expert's substantive knowledge. The two approaches ground the relationships between experts and non-experts on so different premises that their results are very poorly connected. | |
| dc.description | Submitted to the Probability Surveys (http://www.i-journals.org/ps/) by the Institute of Mathematical Statistics (http://www.imstat.org) | |
| dc.identifier | https://arxiv.org/abs/0807.2931 | |
| dc.identifier | http://arxiv.org/abs/0807.2931 | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/165238 | |
| dc.subject | Probability | |
| dc.subject | 91A, 91B, 62B (Primary) | |
| dc.title | Learning from Experts: A Survey | |
| dc.type | text |