Bayesian calibration and sensitivity analysis of heat transfer models for fire insulation panels

•We present a method for the calibration of temperature-dependent material properties.•The calibration of the parameters is carried out with a Bayesian inversion framework.•The analysis is accelerated through advanced surrogate modelling techniques.•A time-dependent sensitivity analysis of the model parameters is conducted.