This is the last of a three-part series recorded by John Doherty. The first video is recalling what you once knew. The second video will be focussed on highly-parameterised inversion and the third video will be on uncertainty analysis.
These videos will give you a good understanding of the mathematical concepts that underpin model calibration and uncertainty analysis and you will better understand how PEST and PEST++ work. More than this, you will better understand how calibration and uncertainty analysis work, whether or not you use PEST or PEST++.
Webinar 3: Uncertainty analysis
• Bayes equation
• linear uncertainty analysis
• sampling the prior
• sampling the posterior
• data space inversion: by-passing parameter adjustment altogether
