Construct · 1 fields · 1 citations

Bayesian R-squared: a standalone construct

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Bayesian statistics

a variance-explained measure for Bayesian regression computed per posterior draw as predicted variance over predicted plus residual variance, so it cannot exceed one.

In Bayesian statistics, Bayesian R-squared refers to a variance-explained measure for Bayesian regression computed per posterior draw as predicted variance over predicted plus residual variance, so it cannot exceed one. This meaning comes from Gelman (2019) in The American Statistician.[1]

Unit
Recovery means
Measured by

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Nearby constructs

measure2 fields · 4 citationsjingle · one word, two constructs posterior2 fields · 2 citationsjingle · one word, two constructs regression4 fields · 5 citationsjingle · one word, four constructs

References

Gelman, A., Goodrich, B., Gabry, J., & Vehtari, A. (2019). R-squared for Bayesian Regression Models. The American Statistician, 73(3), 307-309. https://doi.org/10.1080/00031305.2018.1549100

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