Aumann's agreement theorem and Bayesian probability

Shortcuts: Differences, Similarities, Jaccard Similarity Coefficient, References.

Difference between Aumann's agreement theorem and Bayesian probability

Aumann's agreement theorem vs. Bayesian probability

Aumann's agreement theorem says that two people acting rationally (in a certain precise sense) and with common knowledge of each other's beliefs cannot agree to disagree. Bayesian probability is an interpretation of the concept of probability, in which, instead of frequency or propensity of some phenomenon, probability is interpreted as reasonable expectation representing a state of knowledge or as quantification of a personal belief.

Similarities between Aumann's agreement theorem and Bayesian probability

Aumann's agreement theorem and Bayesian probability have 2 things in common (in Unionpedia): Posterior probability, Prior probability.

Posterior probability

In Bayesian statistics, the posterior probability of a random event or an uncertain proposition is the conditional probability that is assigned after the relevant evidence or background is taken into account.

Aumann's agreement theorem and Posterior probability · Bayesian probability and Posterior probability · See more »

Prior probability

In Bayesian statistical inference, a prior probability distribution, often simply called the prior, of an uncertain quantity is the probability distribution that would express one's beliefs about this quantity before some evidence is taken into account.

Aumann's agreement theorem and Prior probability · Bayesian probability and Prior probability · See more »

The list above answers the following questions

What Aumann's agreement theorem and Bayesian probability have in common
What are the similarities between Aumann's agreement theorem and Bayesian probability

Aumann's agreement theorem and Bayesian probability Comparison

Aumann's agreement theorem has 10 relations, while Bayesian probability has 84. As they have in common 2, the Jaccard index is 2.13% = 2 / (10 + 84).

References

This article shows the relationship between Aumann's agreement theorem and Bayesian probability. To access each article from which the information was extracted, please visit:

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