Publications

• Single and multi-objective optimal designs for group testing experiments
  Preprint
  Chi-Kuang Yeh, Weng Kee Wong & Julie Zhou
• Positive and unlabeled data: model, estimation, inference, and classification
  Journal of the American Statistical Association
  [code] [link] [arXiv] [ResearchGate]
  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

• 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
  Preprint
  [code] [arXiv] [ResearchGate]
  Chi-Kuang Yeh & Julie Zhou

• Functional spherical autocorrelation: a robust estimate of the autocorrelation of a functional time series
  Electronic Journal of Statistics, 17, 650–687
  [code] [link] [arXiv] [ResearchGate]
  Chi-Kuang Yeh, Gregory Rice & Joel A. Dubin

• Evaluating real-time probabilistic forecasts with application to National Basketball Association outcome prediction
  The American Statistician, 76, 214–223
  [code] [link] [arXiv] [ResearchGate]
  Chi-Kuang Yeh, Gregory Rice & Joel A. Dubin

• Properties of optimal regression designs under the second-order least squares estimator
  Statistical Papers, 62, 75–92
  [code] [link]
  Chi-Kuang Yeh & Julie Zhou

• 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