Bayesian uncertainty analysis represents a powerful statistical framework that integrates prior knowledge with observed measurement data to quantify uncertainty in a consistent probabilistic manner.
To demonstrate examples of these misclassifications, the authors use two different sources of remote sensing data on forest cover in Mexico. The two sources capture the same location at a similar time ...