Jeffreys prior
Jeffreys prior noun: 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.
Noun
Jeffreys prior (plural Jeffreys priors)
- 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.
Forms of Jeffreys prior
| plural | Jeffreys priors |
|---|
Origin of Jeffreys prior
Named after Sir Harold Jeffreys.
Questions about Jeffreys prior
- What does Jeffreys prior mean?
- Jeffreys prior means 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.
- What part of speech is Jeffreys prior?
- Jeffreys prior is a noun.
- What is the plural of Jeffreys prior?
- The plural of Jeffreys prior is Jeffreys priors.
Words near Jeffreys prior in the dictionary
Source and license
Adapted from Wiktionary: Jeffreys prior (page history and authors). Text available under the Creative Commons Attribution-ShareAlike 4.0 license. Word.ws reformatted the entry and added links. Wiktionary data of 2026-09-02.
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Cite this entry: “Jeffreys prior.” Word.ws, https://word.ws/jeffreys_prior. Based on Wiktionary, CC BY-SA 4.0.
