3 papers
stat.ME2026
Wild bootstrap for mean response inference in functional linear regression models
Hyemin Yeon, Xiongtao Dai, Daniel Nordman
Functional regressors complicate inference in linear regression problems so that the bootstrap can play a useful role in quantifying uncertainty and calibrating intervals. The best…
stat.ME2026
Spatial Prediction of Local Soil Erosion Distribution in the Wasserstein Space
Jiaming Qiu, Xiongtao Dai, Zhengyuan Zhu +1
Obtaining precise erosion measurements requires costly fieldwork, making it infeasible to directly survey large domains such as a province or river basin. To extend fieldwork resul…
stat.ME2026
Conditional regularized halfspace depth for sparse functional data and its applications
Hyemin Yeon, Xiongtao Dai, Sara Lopez-Pintado
Many functional datasets are observed sparsely and irregularly. Ordering such data is challenging because only limited information is available from each observation, while the und…