Bayesian Calibration

This example start with inspection of the results from the previous multirun. We are locking to exactly the same parameters, the same possible range for selection of new candidates. But in this case we are using an MCMC to select from a normal distribution and not from the uniform distributions that was used in the previous GLUE type of calibration.



The files are here.