3 papers
stat.ME2026
Scalable Heteroskedastic Gaussian Process Models for Large Inhomogeneous Datasets
K. Potter, K. R. Moran, R. Ulrich +5
We introduce Heteroskedastic Normalized Vecchia Gaussian Processes (HetNV), a scalable framework for Gaussian process regression with input-dependent observation noise. HetNV combi…
stat.ME2026
A Bayesian Framework for Extrapolative Emulation of Spatially Gridded Simulation Data
Kelly R. Moran, Ky Potter, Chris Danly +1
We propose a Bayesian emulator for extrapolating spatially gridded simulation output across resolution. The method treats each pixel as following a nonlinear resolution-response cu…
physics.space-ph2026
Ionospheric Observations from the ISS: Overcoming Noise Challenges in Signal Extraction
Rachel Ulrich, Kelly R. Moran, Ky Potter +3
The Electric Propulsion Electrostatic Analyzer Experiment (ÈPÈE) is a compact ion energy bandpass filter deployed on the International Space Station (ISS) in March 2023 and providi…