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Questions tagged [dic]

dic---deviance information criterion---is a specific information measure, based on generalizing aic/bic, to be used in model choice. See https://en.wikipedia.org/wiki/Deviance_information_criterion

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DIC to compare models with different numbers of parameter?

I am interested in comparing hierarchical Bayesian models based on the same dataset but differing in their spatial and temporal resolution. In short, I am looking at animal population changes over ...
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108 views

Calculating DIC from MCMC (gibbs) output

I just want to make sure my understanding of how we estimate DIC using MCMC output is correct, as the wikipedia page is somewhat confusing. Defining DIC by $$DIC = p_D + \bar{D}$$ with $$D(\theta) ...
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DIC, WAIC in JAGS

I have a Bayesian Hierarchical model using JAGS. In order to find the best model, I have compared the DIC of two models but It's not reliable. So, I decided to calculate WAIC from JAGS. However I have ...
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DIC model selection: preferred model does not contain significant term

I estimate model parameters for 2 glmm models using MCMC in R2JAGS. I then use DIC to assess the relative fit of the models: Model 1 y~ site + treatment (DIC = 922.1) Model 2 y~ site (DIC = 921.8) ...
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769 views

DIC vs PED in JAGS

JAGS allows reporting of DIC and also PED (penalized expected deviance). What are differences between these two statistics? Which is better for what purpose? DIC was the first one, PED was evidently ...
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588 views

Using DIC for model selection: (in)valid comparisons

Imagine I have the following 7 glmm models where $b_1$ through $b_3$ are fixed effects. $M_1 = y \sim b_1 \times b_2 \times b_3$ $M_2 = y \sim b_2 \times b_3$ $M_3 = y \sim b_1 \times b_3$ $M_4 = ...