Fig. 3.

Prior informativeness. Informativeness can be described by the wideness of the distribution. ‘Informative’ (narrow) prior prevail on the data and the inference is biased. ‘Less Informative’ (wide) prior do not overshadow the data and the curve is inferred with high certainty. We used the A₀ dataset with R = 1. The median HDR and LDR are represented by black horizontal segments, and the median IC₅₀ vertical segments. RMSE value is identified for each curve. We used the median curve to compute the residuals