Construct · 1 fields · 1 citations

approximate Bayesian computation: a standalone construct

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

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Bayesian statistics

a way to do Bayesian inference without a likelihood, keeping parameter values whose simulated data look close to the observed data.

In Bayesian statistics, approximate Bayesian computation refers to a way to do Bayesian inference without a likelihood, keeping parameter values whose simulated data look close to the observed data. This meaning comes from Beaumont (2002) in Genetics.[1]

Unit
Recovery means
Measured by

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Nearby constructs

inference3 fields · 5 citationsjingle · one word, three constructs likelihood3 fields · 3 citationsjingle · one word, three constructs parameter3 fields · 3 citationsjingle · one word, three constructs

References

Beaumont, M. A., Zhang, W., & Balding, D. J. (2002). Approximate Bayesian Computation in Population Genetics. Genetics, 162(4), 2025-2035. https://doi.org/10.1093/genetics/162.4.2025

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