Construct · 1 fields · 1 citations

Jeffreys prior: a standalone construct

One name. One construct. A landmark on the map.

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Bayesian statistics

a default prior proportional to the square root of Fisher information, which gives the same answer under any reparameterization.

In Bayesian statistics, Jeffreys prior refers to a default prior proportional to the square root of Fisher information, which gives the same answer under any reparameterization. This meaning comes from Jeffreys (1946) in Proceedings of the Royal Society of London. Series A. Mathematical and Physical Sciences.[1]

Unit
Recovery means
Measured by

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Nearby constructs

default3 fields · 3 citationsjingle · one word, three constructs Fisher information3 fields · 3 citationsinvariant · one construct, three systems information4 fields · 5 citationsjingle · one word, four constructs

References

Jeffreys, H. (1946). An invariant form for the prior probability in estimation problems. Proceedings of the Royal Society of London. Series A. Mathematical and Physical Sciences, 186(1007), 453-461. https://doi.org/10.1098/rspa.1946.0056

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