3 papers
stat.CO2026
Deep Gaussian Process Emulation with gradient Information and Sequential Design for Simulators with Sharp Variations
Yiming Yang, Deyu Ming, Serge Guillas
Deep Gaussian Processes (DGPs) compose GP layers to warp inputs, enabling improved emulation of computer models with nonstationary input-output behavior compared with ordinary GPs.…
stat.CO2026
Generalized and Scalable Deep Gaussian Process Emulation
Deyu Ming, Daniel Williamson
Gaussian process (GP) emulators have become essential tools for approximating complex simulators, significantly reducing computational demands in optimization, sensitivity analysis…
stat.AP2025
Integrative Analysis and Imputation of Multiple Data Streams via Deep Gaussian Processes
Ali Akbar Septiandri, Deyu Ming, F. Alejandro DiazDelaO +2
Healthcare data, particularly in critical care settings, presents three key challenges for analysis. First, physiological measurements come from different sources but are inherentl…