Comparing hierarchical models via the marginalized deviance information criterion.
Sign Up to like & getrecommendations! Published in 2018 at "Statistics in medicine"
DOI: 10.1002/sim.7649
Abstract: Hierarchical models are extensively used in pharmacokinetics and longitudinal studies. When the estimation is performed from a Bayesian approach, model comparison is often based on the deviance information criterion (DIC). In hierarchical models with latent… read more here.
Keywords: hierarchical models; information criterion; deviance information; criterion ... See more keywords
Deviance information criterion for latent variable models and misspecified models
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DOI: 10.1016/j.jeconom.2019.11.002
Abstract: Deviance information criterion (DIC) has been widely used for Bayesian model comparison, especially after Markov chain Monte Carlo (MCMC) is used to estimate candidate models. This paper first studies the problem of using DIC to… read more here.
Keywords: misspecified models; variable models; deviance information; information criterion ... See more keywords