Statistical principles | Probability theory

Principle of indifference

The principle of indifference (also called principle of insufficient reason) is a rule for assigning epistemic probabilities. The principle of indifference states that in the absence of any relevant evidence, agents should distribute their credence (or 'degrees of belief') equally among all the possible outcomes under consideration. In Bayesian probability, this is the simplest non-informative prior. The principle of indifference is meaningless under the frequency interpretation of probability, in which probabilities are relative frequencies rather than degrees of belief in uncertain propositions, conditional upon state information. (Wikipedia).

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From playlist Solve a System of Equations Using Elimination | Medium

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From playlist Solve a System of Equations Using Elimination | Medium

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Bayesian epistemology | George Boole | Jacob Bernoulli | Bertrand paradox (probability) | Symmetry | Probability density function | Rule of succession | Equipossibility | Prior probability | Wine/water paradox | Coin flipping | Principle of maximum entropy | Jeffreys prior | Bayesian probability | Equiprobability | Dice | Shuffling | Liouville's theorem (Hamiltonian) | Thermodynamic equilibrium