3 papers
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.ME2022
Bayesian estimation of the autocovariance of a model error in time series
Yoon Bae Jun, Chae Young Lim, Kun Ho Kim
Autocovariance of the error term in a time series model plays a key role in the estimation and inference for the model that it belongs to. Typically, some arbitrary parametric stru…
stat.AP2016
Spatial Clustering of Curves with Functional Covariates: A Bayesian Partitioning Model with Application to Spectra Radiance in Climate Study
Zhen Zhang, Chae Young Lim, Tapabrata Maiti +1
In climate change study, the infrared spectral signatures of climate change have recently been conceptually adopted, and widely applied to identifying and attributing atmospheric c…