For Bayesian calibration problem, can I specify an input parameter as random (say Gaussian) and not calibrate that parameter. In this case it might be something that is uncertain, but the uncertainty is already known. From the examples, it is clear that defining a parameter as ‘constant’ would use it only for forward problem. Can it be done for a parameter that follows a distribution? Or, do I need to specify such parameters inside the concerned function.