Definitions from Wiktionary (Jeffreys prior)
▸ noun: (probability) 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.
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▸ noun: (probability) 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.
Similar:
posterior,
hyperparameter,
Bayes' theorem,
principle of indifference,
Bayesianism,
joint probability,
conditional entropy,
probability density function,
perplexity,
Bertrand's paradox,
more...
Opposite:
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