Construct · 1 fields · 1 citations

deviance information criterion: a standalone construct

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

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Bayesian statistics

a Bayesian model comparison score combining posterior mean deviance with an estimate of the effective number of parameters.

In Bayesian statistics, deviance information criterion refers to a Bayesian model comparison score combining posterior mean deviance with an estimate of the effective number of parameters. This meaning comes from Spiegelhalter (2002) in Journal of the Royal Statistical Society Series B: Statistical Methodology.[1]

Unit
Recovery means
Measured by

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Nearby constructs

deviance3 fields · 3 citationsjingle · one word, three constructs information4 fields · 5 citationsjingle · one word, four constructs mean3 fields · 6 citationsjingle · one word, three constructs

References

Spiegelhalter, D. J., Best, N. G., Carlin, B. P., & Van Der Linde, A. (2002). Bayesian Measures of Model Complexity and Fit. Journal of the Royal Statistical Society Series B: Statistical Methodology, 64(4), 583-639. https://doi.org/10.1111/1467-9868.00353

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