Uncertainty analysis literature review
I performed a literature review of uncertainty and sensitivity analysis methods at an early stage of my PhD. The lit review never made it into the final thesis due to the nature of research, but I’d like to share it so I can pretend that the effort wasn’t wasted!
Uncertainty and sensitivity analysis are interlinked but separate tasks. An uncertainty analysis quantifies how uncertainty in input variables of a scientific model influence the total uncertainty. A sensitivity analysis identifies how individual variables influence the output of the total model.
I have turned the specific section of the literature review into a monograph which can be found here. I found the thesis by Will Usher very useful as a starting point for my research. The Python library is the implementation of multiple methods for actually running sensitivity analysis models.