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stat.ME2026
Cluster-Aware Conformal Calibration for Spatio-Temporal Distributional Prediction
Gooyoung Kim, Chae Young Lim, Wen-Ting Wang +2
DeepKriging-style models, such as Spatio-Temporal DeepKriging, improve scalability through basis-function embeddings and stochastic gradient learning; however, fixed regular-grid s…
stat.ME2026
DeepKriging on the global Data
Hao-Yun Huang, Wen-Ting Wang, Ping-Hsun Chiang +1
The increasing availability of large-scale global datasets has generated a demand for scalable spatial prediction methods defined on spherical domains. Classical spatial models tha…
stat.ME2023
Spatial Regression With Multiplicative Errors, and Its Application With Lidar Measurements
Hojun You, Wei-Ying Wu, Chae Young Lim +2
Multiplicative errors in addition to spatially referenced observations often arise in geodetic applications, particularly in surface estimation with light detection and ranging (Li…