A theoretical framework of the scaled Gaussian stochastic process in prediction and calibration

Mengyang Gu, Fangzheng Xie, Long Wang

Model calibration or data inversion is one of fundamental tasks in uncertainty quantification. In this work, we study the theoretical properties of the scaled Gaussian stochastic p…