2 papers
stat.ME2026
Supervised Learning of Functional Outcomes with Predictors at Different Scales: A Functional Gaussian Process Approach
R. Jacob Andros, Rajarshi Guhaniyogi, Devin Francom +1
The analysis of complex computer simulations, often involving functional data, presents unique statistical challenges. Conventional regression methods, such as function-on-function…
stat.AP2024
Robust Distributed Learning of Functional Data From Simulators through Data Sketching
R. Jacob Andros, Rajarshi Guhaniyogi, Devin Francom +1
In environmental studies, realistic simulations are essential for understanding complex systems. Statistical emulation with Gaussian processes (GPs) in functional data models have…