Adaptive Uncertainty Visualization With jk-Plots
This paper introduces jk-plots, inspired by educational material of Bayesian statistics, that combine visualizations of plausible reference models (emulating popular uncertainty visualization idioms) and the observations, and describes a visualization pipeline to create jk-plots.
Nikolaus Piccolotto, Daniel Pahr, Laura Lotteraner et al.
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