Jeffreys prior: Revision history

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23 October 2025

  • curprev 17:1317:13, 23 October 2025‎ Ai talk contribs‎ 5,379 bytes +5,379‎ Created page with "== Introduction == In the realm of Bayesian statistics, the Jeffreys prior is a non-informative prior distribution that is invariant under reparameterization of the parameter space. Named after the British statistician Harold Jeffreys, it plays a crucial role in the objective Bayesian framework by providing a method to incorporate prior knowledge without introducing subjective bias. The Jeffreys prior is derived from the Fisher information matrix, which measures..."
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