jeffreys prior

Questions

What does jeffreys prior mean?

In Bayesian probability, a non-informative (objective) prior distribution for a parameter space; it is proportional to the square root of the determinant of the Fisher information matrix.

Where does jeffreys prior come from?

Named after Sir Harold Jeffreys.

How to pronounce jeffreys prior

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