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Deviance Information Criteria for Model Selection in Approximate Bayesian Computation
Approximate Bayesian computation evolutionary genetics statistical
2011/6/16
Approximate Bayesian computation (ABC) is a class of algorithmic
methods in Bayesian inference using statistical summaries and computer
simulations. ABC has become popular in evolutionary genetics a...
Deviance Information Criteria for Missing Data Models
completion deviance DIC EM algorithm MAP model comparison mixture model random effect model
2009/9/21
The deviance information criterion(DIC)introduced by Spiegelhalter et al.
(2002) for model assessment and model comparison is directly inspired by linear
and generalised linear models, but it is ope...