1. Figure Legend: From: Bayesian inference for psychometric functions
Journal of Vision. 2005;5(5):8. doi: /5.5.8
Figure Legend:
Synthetic data example. Plots of prior densities and histograms of posterior samples. Each plot (a–c) corresponds to one model parameter (πl, m, and w and shows the normalized histogram of MCMC samples of the posterior distribution in comparison to the prior density. Vertical lines mark the value that was used to generate the data, the ML, and MAP point estimates and the 0.05, 0.5, and 0.95 empirical quantiles of the MCMC samples. The interval between the 0.05 and 0.95 quantiles is the approximate Bayesian 90% confidence interval. (d) shows a scatter plot of w and m parts of the samples. Note the negative correlation, which corresponds to the necessity of steeper functions as the threshold location is moved to the right.
Date of download: 10/25/2017
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