<p><b> with reported mean and SE across all 46 data sets; (b) p-values obtained using one-sided paired t-test between IUBD and other distributions.</b> At significance level p = 0.01 (dashed line) only GD can be declared to perform worse. Similarly we show the mean and SE across 46 data sets for (c) measure, and (d) Akaike (blue) and Bayesian (green) information criteria.</p
AIC and BIC values shown here are relative to the intercept-only model. Therefore, negative numbers ...
<p>A Statistical model comparison in testing the models when P = 105 and Q = 27.</p
<p>K = number of model parameters fitted to data, n = number of experimental observations (22 observ...
Mean and standard deviation of the difference between the information criterion of the models with o...
<p><b>a</b>: Each column represents a subject, divided by test group (all datasets include a Gaussia...
BF10 = Bayes Factor (where 10 refers to the alternative hypothesis, H1, relative to the null hypothe...
<p>(A) We compared the ‘Reward T’ model to all the other models by examining the paired differences ...
<p>The table shows the log likelihoods (A, B) and the Akaike information criterion (D) comparing thr...
<p>(A) We compared the ‘Reward T’ (lowest WAIC) model WAIC score to the other models by examining th...
<p>Lesser values indicate better model fit. According to all criteria the modified Mathews et al. (1...
Difference in summed AIC (black) and BIC (brown) between the free-exponent model and other models fr...
Bayes provides a better fit, but both models have large deviations from the data. Left and middle co...
<p>Bayesian Information Criterion (), summed across participants (<i>N</i> = 30) for the alternative...
<p>Models are ranked in order of their AIC (Akaike Information Criterion) scores, and other ranking ...
<p>Left: Kolmogorov-Smirnov statistic between subsets of data above and the fitting models on these...
AIC and BIC values shown here are relative to the intercept-only model. Therefore, negative numbers ...
<p>A Statistical model comparison in testing the models when P = 105 and Q = 27.</p
<p>K = number of model parameters fitted to data, n = number of experimental observations (22 observ...
Mean and standard deviation of the difference between the information criterion of the models with o...
<p><b>a</b>: Each column represents a subject, divided by test group (all datasets include a Gaussia...
BF10 = Bayes Factor (where 10 refers to the alternative hypothesis, H1, relative to the null hypothe...
<p>(A) We compared the ‘Reward T’ model to all the other models by examining the paired differences ...
<p>The table shows the log likelihoods (A, B) and the Akaike information criterion (D) comparing thr...
<p>(A) We compared the ‘Reward T’ (lowest WAIC) model WAIC score to the other models by examining th...
<p>Lesser values indicate better model fit. According to all criteria the modified Mathews et al. (1...
Difference in summed AIC (black) and BIC (brown) between the free-exponent model and other models fr...
Bayes provides a better fit, but both models have large deviations from the data. Left and middle co...
<p>Bayesian Information Criterion (), summed across participants (<i>N</i> = 30) for the alternative...
<p>Models are ranked in order of their AIC (Akaike Information Criterion) scores, and other ranking ...
<p>Left: Kolmogorov-Smirnov statistic between subsets of data above and the fitting models on these...
AIC and BIC values shown here are relative to the intercept-only model. Therefore, negative numbers ...
<p>A Statistical model comparison in testing the models when P = 105 and Q = 27.</p
<p>K = number of model parameters fitted to data, n = number of experimental observations (22 observ...
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