4 citations · 4 across the 3 of their papers we have counts for
Showing math.STShow all
2 papers · 1 filter
math.ST2018
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…
math.ST2017★ 4 cited
Robust Gaussian Stochastic Process Emulation
Mengyang Gu, Xiaojing Wang, James O. Berger
We consider estimation of the parameters of a Gaussian Stochastic Process (GaSP), in the context of emulation (approximation) of computer models for which the outcomes are real-val…