SAYT1016 Unlocking the Secrets of Randomness: from Paradoxes to Sport Predictive Modeling to Algorithmic Trading

Programme SAYT1016 Unlocking the Secrets of Randomness: from Paradoxes to Sport Predictive Modeling to Algorithmic Trading

 

SAYT1016 解開未知的秘密:由悖論到運動預測模型到算法交易

 

 

 

 

 

 

 

 

 

 

CUHK Organising Unit Science Academy for Young Talent
Host Institution / Organisation
Programme Overview Uncertainty exists in many real-life problems, ranging from stock returns to sport results to medication effects to election outcomes. Statistics offers methods to handle uncertainty with a higher precision. Improving a decision with 50-50 certainty to 60-40 certainty makes a huge difference in many practically problems. This course introduces ways to (i) define, (ii) model and (iii) forecast uncertainty through real-life examples and counterintuitive phenomena. Topics include (i) birthday paradox, Simpson’s paradox; (ii) linear regression model, auto-regressive regression model, logistic regression model, non-parametric regression model; and (iii) historical simulation, and k-mean clustering.

 

不確定性存在於許多現實生活中的問題,例子涵蓋股票回報、運動結果、藥物效果、選舉結果等。統計科學提供了具更高準定性的方法,以處理不確定性的問題。在許多實際問題中,將50-50的不確定性提高至60-40,可令數據分析變得更精確。本課程以實際示例和違反直覺的現象引導,來 (i) 定義、(ii) 模型和 (iii) 預測不確定性。主題包括 (i)生日悖論,辛普森悖論;(ii) 線性迴歸模型,自迴歸模型,邏輯迥歸模型,非參數迴歸模型;(iii) 歷史模擬法,k平均演算法。

Programme Period 26 Jul – 02 Aug 2021
Location(s) Hong Kong
Programme Nature
  • Academic Studies
Target Students
  • Hong Kong Students
Level of Study Requirement
  • Secondary School
Eligibility Please refer to programme website
Type of Programme Credit-bearing programme
Programme Fee HKD 3,900
Accommodation No
Application Period 08 Mar – 09 Apr 2021
Application Details Online Application
Programme Website www.sci.cuhk.edu.hk/en-gb/sayt
Enquiry sayt@cuhk.edu.hk