Understanding surmise

• Overview
• FAQ about calibration
  • Parameter screening/sensitivity analysis
  • Design the experiment to obtain the computer model output
  • Selecting appropriate priors
  • Combining the prior and the likelihood
  • Evaluating performance of the calibrated model
• Use cases
• Reference to examples