DIC is a complexity-penalized measure of model fit, DIC = D(θ) + pD, where D(θ) is the deviance of model fit under the optimized parameter set θ and pD is the effective number of parameters. ΔDIC is the difference between each model’s DIC and that of the null model for which all parameters are fixed across conditions. Asterisks denote models providing best fits within the single-parameter group (*) and across both groups (**).</p
<p>In the first row of the table, <i>n</i> represents the number of data sets that best fit a partic...
a<p>The names of the 8 models (Mod1-8) in the comparison test.</p>b<p>The estimated AICM score of th...
<p>Model comparison values based on Deviance Information Criterion (DIC) for the Poisson logit hurdl...
<p>Fits were done separately for each of the response bias conditions. Only the starting point is al...
<p>Data are presented separately for low and high coherence trials (integration conditions), and arr...
<p>Deviance Information Criterions (DIC) for the five models tested, ordered from the best to the wo...
<p>Lower DIC is better, and higher Bayes factor is better, so Cue Mixing has the best score in both ...
All models included evidence-acculumulation and starting-point bias terms to account for idiosyncrat...
<p>Comparison of the values for the deviance information criterion (DIC) between models (MCMCglmm) t...
Table A: Model comparison of diffusion decision models (DDM) based on WAIC (data: Experiment 2). Not...
The deviance information criterion (DIC) is widely used for Bayesian model comparison, despite the l...
<p>df = degree of freedom; SRMR = standardized root mean square residual; RMSEA = root mean square e...
Goodness-of-fit statistics of the one-factor model, the three-factor model and the five-factor model...
<p>The relative measure of model performance, i.e. the per-bin log-likelihood Δ<i>p</i> (see <a href...
The deviance information criterion (DIC) is widely used for Bayesian model comparison, despite the l...
<p>In the first row of the table, <i>n</i> represents the number of data sets that best fit a partic...
a<p>The names of the 8 models (Mod1-8) in the comparison test.</p>b<p>The estimated AICM score of th...
<p>Model comparison values based on Deviance Information Criterion (DIC) for the Poisson logit hurdl...
<p>Fits were done separately for each of the response bias conditions. Only the starting point is al...
<p>Data are presented separately for low and high coherence trials (integration conditions), and arr...
<p>Deviance Information Criterions (DIC) for the five models tested, ordered from the best to the wo...
<p>Lower DIC is better, and higher Bayes factor is better, so Cue Mixing has the best score in both ...
All models included evidence-acculumulation and starting-point bias terms to account for idiosyncrat...
<p>Comparison of the values for the deviance information criterion (DIC) between models (MCMCglmm) t...
Table A: Model comparison of diffusion decision models (DDM) based on WAIC (data: Experiment 2). Not...
The deviance information criterion (DIC) is widely used for Bayesian model comparison, despite the l...
<p>df = degree of freedom; SRMR = standardized root mean square residual; RMSEA = root mean square e...
Goodness-of-fit statistics of the one-factor model, the three-factor model and the five-factor model...
<p>The relative measure of model performance, i.e. the per-bin log-likelihood Δ<i>p</i> (see <a href...
The deviance information criterion (DIC) is widely used for Bayesian model comparison, despite the l...
<p>In the first row of the table, <i>n</i> represents the number of data sets that best fit a partic...
a<p>The names of the 8 models (Mod1-8) in the comparison test.</p>b<p>The estimated AICM score of th...
<p>Model comparison values based on Deviance Information Criterion (DIC) for the Poisson logit hurdl...