Chi-Kuang Yeh/葉啓光
- Postdoctoral Fellow, University of Waterloo & McGill University
- chi-kuang.yeh@uwaterloo.ca, chi-kuang.yeh@mila.quebec
My office is: M3-3102, Desk 10. Outsite academic, I also organize a basketball group, and let’s have fun!
Teaching:
- 2024 Spring: NOT teaching this term.
- 2024 Winter: STAT 230 – Introduction to Probability, along with Erik Hintz, Jeffery Negrea and Justin Ko.
Reserach Interests:
I possess a wide range of interests, but for now, my research is centred around:
- Functional data analysis, espeically with dependence.
- Time series analysis.
- Dependence modeling (both spatial and temporal).
- Optimal design of experiment.
- Machine learning and high-dimensional data analysis.
- Applications include drug development, toxicology, neuroscience, to only name a few.
Publications
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Positive and unlabeled data: model, estimation, inference, and classification,
Preprint. [arXiv] Siyan Liu, Chi-Kuang Yeh, Xin Zhang, Qinglong Tian & Pengfei Li -
CVXSADes: a stochastic algorithm for constructing optimal exact regression designs with single or multiple objectives,
Preprint. [code] [arXiv] [ResearchGate] Chi-Kuang Yeh & Julie Zhou
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Variable selection in multivariate functional linear regression,
Statistics in Bioscience. [link] Chi-Kuang Yeh & Peijun Sang -
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
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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
Theses
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Methods in functional data analysis: forecast evaluation, robust serial dependence measures, and a spatial factor copula model,
Ph.D. Thesis, University of Waterloo. [link]
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Optimal regression design under second-order least squares estimator: theory, algorithm and applications,
Master’s Thesis, University of Victoria. [link]
Softwares
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evalRTPF
A R package to Evaluating the probabilistic forecasts between competitive forecasters. [GitHub] Chi-Kuang Yeh, Gregory Rice & Joel Dubin -
optDesign
A MATLAB toolbox to compute optimal regression design. [GitHub] Chi-Kuang Yeh & Julie Zhou -
SLSEdesign
A R package for computing optimal regression designs under the second-order least-squares estimator. [GitHub] [CRAN] Chi-Kuang Yeh, Julie Zhou, Jason Hou-Liu -
yehUtil
A R package for knitting some RMarkdown reports and other usages. [GitHub] Chi-Kuang Yeh