3 papers
stat.AP2026
Scalable, Likelihood-Free Calibration of Ice-Sheet Models with Deep Diffusion Emulators and Feature Matching
Kanghyun Wi, Jaewoo Park, Saumya Bhatnagar +1
The Antarctic ice sheet is a major source of uncertainty in future sea-level projections, and physical simulators such as the PSU3D-ICE model are essential for studying its evoluti…
stat.ME2026
Robust Nonparametric Testing Approaches for Spatial Regression
Kanghyun Wi, Hyoeun Kim, Tomáš Mrkvička +2
Reliable inference for spatial regression remains challenging because it requires the correct specification of the spatial dependence structure, the mean trend, and the error distr…
stat.ME2024
Bayesian Function-on-Function Regression for Spatial Functional Data
Heesang Lee, Dagun Oh, Sunhwa Choi +1
Spatial functional data arise in many settings, such as particulate matter curves observed at monitoring stations and age population curves at each areal unit. Most existing functi…