Principle of transformation groups

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The principle of transformation groups is a methodology for assigning prior probabilities in statistical inference issues, initially proposed by physicist E. T. Jaynes.^[1] It is regarded as an extension of the principle of indifference.

Prior probabilities determined by this principle are objective in that they rely solely on the inherent characteristics of the problem, ensuring that any two individuals applying the principle to the same issue would assign identical prior probabilities. Thus, this principle is integral to the objective Bayesian interpretation of probability.