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The principle of maximum entropy states that, among all probability distributions consistent with a given set of constraints (such as normalization or specified expectation values), the distribution that maximizes Shannon entropy should be selected. This yields the least committal distribution compatible with the known constraints, introducing no…
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entropy maximum information probability distribution displaystyle principle constraints prior measure log testable density case function frac given discrete relative inference
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Principle of maximum entropy | has application | The | 0.60 | section |
| Principle of maximum entropy | related to Compatibility with Bayes' theorem | Giffin | 0.60 | section |
| Principle of maximum entropy | related to Compatibility with Bayes' theorem | Caticha | 0.60 | section |
| Principle of maximum entropy | related to Compatibility with Bayes' theorem | Bayes | 0.60 | section |
| Principle of maximum entropy | related to Compatibility with Bayes' theorem | They | 0.60 | section |
| Principle of maximum entropy | related to Compatibility with Bayes' theorem | Bayesian | 0.60 | section |
| Principle of maximum entropy | related to Compatibility with Bayes' theorem | In | 0.60 | section |
| Principle of maximum entropy | related to Compatibility with Bayes' theorem | Moreover | 0.60 | section |
| Principle of maximum entropy | related to Compatibility with Bayes' theorem | Lazar | 0.60 | section |
| Principle of maximum entropy | related to Compatibility with Bayes' theorem | Schennach | 0.60 | section |
| Principle of maximum entropy | related to Compatibility with Bayes' theorem | Owen | 0.60 | section |
| Principle of maximum entropy | related to Compatibility with Bayes' theorem | Kitamura | 0.60 | section |
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