4 citations · 9 across the 7 of their papers we have counts for
5 papers · 1 filter
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…