In Bayesian probability, the Jeffreys prior, named after Sir Harold Jeffreys, is a non-informative prior distribution for a parameter space; its density...

probabilities, using the following priors, are such that: mean for Bayes prior > mean for Jeffreys prior > mean for Haldane prior. For s/n > 1/2 the order of...

reference priors and Jeffreys priors are identical, even though Jeffreys has a very different rationale. Reference priors are often the objective prior of choice...

information plays a role in the derivation of non-informative prior distributions according to Jeffreys' rule. It also appears as the large-sample covariance...

in the 18th century by Pierre-Simon Laplace. When relying on Jeffreys prior, the prior is Beta ⁡ ( α = 1 2 , β = 1 2 ) {\displaystyle \operatorname {Beta}...

{\displaystyle \ p=0.5~.} The Jeffreys interval is the Bayesian credible interval obtained when using the non-informative Jeffreys prior for the binomial proportion...

Sir Harold Jeffreys, FRS (22 April 1891 – 18 March 1989) was a British geophysicist who made significant contributions to mathematics and statistics. His...

Jeffreys is a surname that may refer to the following notable people: Alec Jeffreys (born 1950), British biologist and discoverer of DNA fingerprinting...

appears in the Lévy arcsine law, in the Erdős arcsine law, and as the Jeffreys prior for the probability of success of a Bernoulli trial. The distribution...

predictive posterior distribution, obtained using the non-informative Jeffreys prior 1/λ; the Conditional Normalized Maximum Likelihood (CNML) predictive...