30 citations · 170 across the 22 of their papers we have counts for
Showing stat.COShow all
3 papers · 1 filter
stat.CO2022★ 8 cited
Scalable marginalization of correlated latent variables with applications to learning particle interaction kernels
Mengyang Gu, Xubo Liu, Xinyi Fang +1
Marginalization of latent variables or nuisance parameters is a fundamental aspect of Bayesian inference and uncertainty quantification. In this work, we focus on scalable marginal…
stat.CO2022★ 1 cited
RobustCalibration: Robust Calibration of Computer Models in R
Mengyang Gu
Two fundamental research tasks in science and engineering are forward predictions and data inversion. This article introduces a recent R package RobustCalibration for Bayesian data…
stat.CO2018★ 15 cited
RobustGaSP: Robust Gaussian Stochastic Process Emulation in R
Mengyang Gu, Jesús Palomo, James O. Berger
Gaussian stochastic process emulation is a powerful tool for approximating computationally intensive computer models. However, estimation of parameters in the GaSP emulator is a ch…