Construct · 1 fields · 1 citations

weakly informative prior: a standalone construct

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Bayesian statistics

a prior that deliberately carries less information than is known, enough to keep estimates stable (for example under separation) without dominating the data.

In Bayesian statistics, weakly informative prior refers to a prior that deliberately carries less information than is known, enough to keep estimates stable (for example under separation) without dominating the data. This meaning comes from Gelman (2008) in The Annals of Applied Statistics.[1]

Unit
Recovery means
Measured by

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Nearby constructs

information4 fields · 5 citationsjingle · one word, four constructs prior3 fields · 4 citationsjingle · one word, three constructs separation3 fields · 4 citationsjingle · one word, three constructs

References

Gelman, A., Jakulin, A., Pittau, M. G., & Su, Y. (2008). A weakly informative default prior distribution for logistic and other regression models. The Annals of Applied Statistics, 2(4), 1360-1383. https://doi.org/10.1214/08-aoas191

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