BF10 = Bayes Factor (where 10 refers to the alternative hypothesis, H1, relative to the null hypothesis, H0); CI = credible intervals. Participant’s random effect included in all models. Best fitting model is bolded. (PDF)</p
<p><b>AB</b> Subjects are assumed to use each model with some probability. The coloured regions repr...
Hypothesis testing is a special form of model selection. Once a pair of competing models is fully de...
In the development of Bayesian model specification for inference and prediction we focus on the con...
BF10 = Bayes Factor (where 10 refers to the alternative hypothesis, H1, relative to the null hypothe...
BF10 = Bayes Factor (where 10 refers to the alternative hypothesis, H1, relative to the null hypothe...
BF10 = Bayes Factor (where 10 refers to the alternative hypothesis, H1, relative to the null hypothe...
BF10 = Bayes Factor (where 10 refers to the alternative hypothesis, H1, relative to the null hypothe...
BF10 = Bayes Factor (where 10 refers to the alternative hypothesis, H1, relative to the null hypothe...
BF10 = Bayes Factor (where 10 refers to the alternative hypothesis, H1, relative to the null hypothe...
<p>(<b>A</b>) Posterior probability and (<b>B</b>) Bayes factors for the three models we compared, s...
<p><b>a</b>: Each column represents a subject, divided by test group (all datasets include a Gaussia...
Fig A. Unscaled-Evidence Strength Model: The Distance Model. Fig B. Scaled-Evidence Strength Model: ...
<p>(<i>A</i>) Bayesian Information Criterion scores for each model (a low score is better). Models b...
Bayes provides a better fit, but both models have large deviations from the data. Left and middle co...
<p><i>Note.</i> The Bayes Factor is relative to the model with trial number and pixel density as pre...
<p><b>AB</b> Subjects are assumed to use each model with some probability. The coloured regions repr...
Hypothesis testing is a special form of model selection. Once a pair of competing models is fully de...
In the development of Bayesian model specification for inference and prediction we focus on the con...
BF10 = Bayes Factor (where 10 refers to the alternative hypothesis, H1, relative to the null hypothe...
BF10 = Bayes Factor (where 10 refers to the alternative hypothesis, H1, relative to the null hypothe...
BF10 = Bayes Factor (where 10 refers to the alternative hypothesis, H1, relative to the null hypothe...
BF10 = Bayes Factor (where 10 refers to the alternative hypothesis, H1, relative to the null hypothe...
BF10 = Bayes Factor (where 10 refers to the alternative hypothesis, H1, relative to the null hypothe...
BF10 = Bayes Factor (where 10 refers to the alternative hypothesis, H1, relative to the null hypothe...
<p>(<b>A</b>) Posterior probability and (<b>B</b>) Bayes factors for the three models we compared, s...
<p><b>a</b>: Each column represents a subject, divided by test group (all datasets include a Gaussia...
Fig A. Unscaled-Evidence Strength Model: The Distance Model. Fig B. Scaled-Evidence Strength Model: ...
<p>(<i>A</i>) Bayesian Information Criterion scores for each model (a low score is better). Models b...
Bayes provides a better fit, but both models have large deviations from the data. Left and middle co...
<p><i>Note.</i> The Bayes Factor is relative to the model with trial number and pixel density as pre...
<p><b>AB</b> Subjects are assumed to use each model with some probability. The coloured regions repr...
Hypothesis testing is a special form of model selection. Once a pair of competing models is fully de...
In the development of Bayesian model specification for inference and prediction we focus on the con...
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