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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Shafer, G. |
| Copyright Year | 2007 |
| Description | Author affiliation: Rutgers Bus. Sch., Newark (Shafer, G.) |
| Abstract | In 2001, Vladimir Vovk and I demonstrated how game theory can replace measure theory as a foundation for classical probability theory, discrete and continuous ( !, Wiley 2001). In the game-theoretic framework, classical probability theorems are proven by betting strategies that make a player rich without risking bankruptcy if the theorem's prediction fails. These strategies can be specified explicitly, and so the theory has a constructive flavor that lends itself to applications in economics and statistics. Defensive forecasting is one of the most interesting of these applications. It identifies a comprehensive betting strategy, which becomes rich if the probabilities fail in a relevant way (say by being uncalibrated or having poor resolution), and it chooses probabilities to defeat this comprehensive betting strategy. The fact that this is possible gives us new insight into the very meaning of probability. |
| Starting Page | 272 |
| Ending Page | 280 |
| File Size | 181863 |
| Page Count | 9 |
| File Format | |
| ISBN | 9781424413058 |
| DOI | 10.1109/WSC.2007.4419612 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2007-12-09 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Game theory Protocols Economic forecasting Statistics Frequency estimation Finance Probability distribution Jacobian matrices Ethics Physics |
| Content Type | Text |
| Resource Type | Article |
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