Sharing

“University's like this little world, a bubble of time separate from everything before and everything after.”

― Mhairi McFarlane.

As a student in CUHK, I experienced a wide range of learning activities. Guided by the world's top scholars, I acquired professional knowledge and was inspired by different general education courses. Here I would like to share my ideas and interesting knowledge in various areas with you through presentations, essays, and projects. Most of them are my individual coursework in CUHK.

Reading Presentations

  • Large Sample Techniques for Statistics (Jiming Jiang) - Chapter 14 Jackknife and Bootstrap [Slide]

  • Estimating Individualized Treatment Rules with Risk Constraint [Slides, Video, Rcode, Supp], coursework in RMSC4102

  • A Robust Method for Shift Detection in Time Series (Dehling & Wendler 2020) [Slides]

  • Probability with Martingale (David Williams) - Chapter 9 Conditional Expectation [Note]

Statistics-Related Sharing

General Sharing

  • (Mathematics) Mathematics behind "The Weakest Link" [Slides], coursework in RMSC2101

  • (Physics) Rutherford Scatting [Slides], coursework in PHYS1111

  • (Chemistry) How did the Hall process make aluminum cheaper than gold? [Essay], coursework in UGEB2370

  • (Economics) Basic Banking and Finance [Essay], coursework in UGEC1560

  • (Nature) Exploration of new knowledge in Risk Management Science [Essay], coursework in UGFN1000

  • (Nature) 論促成現今科學成就的三大要素 [Essay], coursework in UGFN1000

  • (Humanity) 人工智能會有自我意識嗎? [Essay], coursework in UGFH1000

  • (Humanity) 死亡與人生 [Essay], coursework in UGFH1000

  • (Chinese Language) 論科學課程講課之點名制度 [Essay], coursework in CHLT1200

  • (English Language) The University of Waterloo: The Most Innovative University in Canada [Essay], coursework in Language Study Aboard Program, The University of Waterloo

Illustration of Convergence Diagnosis in MCMC

Illustration of Nonparametric Statistics (Local linear regression)

Illustration of Statistical Inference (Power Curve)