* indicates students or postdocs.
2026
2025
-
Single and multi-objective optimal designs for group testing experiments
Chi-Kuang Yeh, Weng Kee Wong & Julie Zhou
-
Positive and unlabeled data: model, estimation,
inference, and classification
Siyan Liu, Chi-Kuang Yeh, Xin Zhang, Qinglong Tian & Pengfei Li
-
Variable selection in multivariate functional linear regression
Statistics in Bioscience, 17, 17--34 [link]
Chi-Kuang Yeh & Peijun Sang
2024
-
FTSgof: White noise and goodness-of-fit tests for functional time series in R
Preprint
Mihyun Kim, Gregory Rice, Yuqian Zhao & Chi-Kuang Yeh
-
CVXSADes: a stochastic algorithm for constructing optimal exact
regression designs with single or multiple objectives
Chi-Kuang Yeh & Julie Zhou
2023
2022
2021
Thesis
-
Methods in functional data analysis: forecast evaluation, robust serial dependence measures, and a spatial factor copula model
Ph.D. Thesis, University of Waterloo [link]
Chi-Kuang Yeh
-
Optimal regression design under second-order least squares estimator: theory, algorithm and applications
Master's Thesis, University of Victoria [link]
Chi-Kuang Yeh