论文部分内容阅读
Statistical model calibration is used to estimate unknown variables in a computational model through the use of known observations or information,while considering the degree of uncertainty in the inputs and outputs of the model.One probabilistic statistical model calibration method,optimization-based model calibration,is based on optimization under uncertainty.