e/Jeffreys prior

Information
has gloss	eng: In Bayesian probability, the Jeffreys prior, named after Harold Jeffreys, is a non-informative (objective) prior distribution on parameter space that is proportional to the square root of the determinant of the Fisher information:
lexicalization	eng: Jeffreys prior
instance of	e/Bayesian inference