4 papers
Gaussian Processes with Input Location Error and Applications to the Composite Parts Assembly Process
Wenjia Wang, Xiaowei Yue, Benjamin Haaland +1
In this paper, we investigate Gaussian process modeling with input location error, where the inputs are corrupted by noise. Here, the best linear unbiased predictor for two cases i…
A clustered Gaussian process model for computer experiments
Chih-Li Sung, Benjamin Haaland, Youngdeok Hwang +1
A Gaussian process has been one of the important approaches for emulating computer simulations. However, the stationarity assumption for a Gaussian process and the intractability f…
Synthesizing simulation and field data of solar irradiance
Furong Sun, Robert B. Gramacy, Benjamin Haaland +2
Predicting the intensity and amount of sunlight as a function of location and time is an essential component in identifying promising locations for economical solar farming. Althou…
A Simple Approach to Constructing Quasi-Sudoku-based Sliced Space-Filling Designs
Diane Donovan, Benjamin Haaland, David J. Nott
Sliced Sudoku-based space-filling designs and, more generally, quasi-sliced orthogonal array-based space-filling designs are useful experimental designs in several contexts, includ…