EE375 Lecture 15e: Uncertainty Analysis
Channel: Michael Dietze
Date: 2020-10-19

Builds on our methods for uncertainty propagation to discuss how we can partition out the contributions of different inputs and parameters to the overall uncertainty in model predictions. Reinforces the contribution of sensitivity and input/parameter uncertainty and discusses how we can use this information to inform decisions about what needs to be measured/monitored.