4 citations · 9 across the 7 of their papers we have counts for
7 papers
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…
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…
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…
Regularized Nonlinear Regression with Dependent Errors and its Application to a Biomechanical Model
Hojun You, Kyubaek Yoon, Wei-Ying Wu +2
A biomechanical model often requires parameter estimation and selection in a known but complicated nonlinear function. Motivated by observing that data from a head-neck position tr…
Regularized Nonlinear Regression for Simultaneously Selecting and Estimating Key Model Parameters
Kyubaek Yoon, Hojun You, Wei-Ying Wu +8
In system identification, estimating parameters of a model using limited observations results in poor identifiability. To cope with this issue, we propose a new method to simultane…
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…
A generalized mixed model framework for assessing fingerprint individuality in presence of varying image quality
Sarat C. Dass, Chae Young Lim, Tapabrata Maiti
Fingerprint individuality refers to the extent of uniqueness of fingerprints and is the main criteria for deciding between a match versus nonmatch in forensic testimony. Often, pri…