Dr. Feng Li

Dr. Feng Li

{ computing, forecasting and learning with massive machines }

  • Activities
    • 📆 Upcoming Talks and Interviews
    • Guanghua Statistics Seminars (2025 fall)
    • Academic Services
    • The 45th International Symposium on Forecasting (2025, Beijing, China)
  • Grants
    • NSFC Project: Efficient Bayesian Flexible Density Methods with High Dimensional Financial Data
    • NSSF Project: Hierarchical economic forecasting from a global modelling perspective
  • Research
    • Publications
    • Research Students
    • Thesis Supervision
    • KLLAB.org
  • Code
  • Teaching
    • Forecasting with AI (人工智能预测)
    • Big Data Computation and Forecasting
    • Old Courses
  • Books
    • 人工智能预测 (Forecasting with AI)
    • 计算统计 (Computational Statistics)
    • 大数据分布式计算与案例
    • 预测:方法与实践(原书第三版译著)
    • Forecasting: theory and practice
  • Contact
  • 李丰
    • 李丰
    • Life Partner
🏠 Home

Time Series Analysis (2016 Spring)

Contents

  • 1 Literature
  • 2 Lecture notes
  • 3 Data sets
  • 4 Lab Exercises

Literature

  • Tsay, Ruey S. Analysis of financial time series. 3rd Edition. John Wiley & Sons, 2010.
  • Tsay, Ruey S. Multivariate Time Series Analysis: With R and Financial Applications. John Wiley & Sons, 2013.

Lecture notes

  • L1: Introduction to Time Series Analysis
  • L2: Linear Time Series | R code
  • L3: Conditional Heteroscedastic Models | R code
  • L4: Introduction to Multivariate Time Series Models | R code
  • L5: Multivariate Volatility Models | R code
  • L6: Factor Models | R code
  • L7: Multivariate Time Series with Copulas | R code
  • L8: Spatial-temporal time series and image analysis (Guest Lecture)

Data sets

Data sets can be retrieved from

  • http://faculty.chicagobooth.edu/ruey.tsay/teaching/fts3/
  • http://faculty.chicagobooth.edu/ruey.tsay/teaching/mtsbk/

Lab Exercises

Please send your solutions to me before the due day.

  • Tips: On Writing Mail Well
  • Please use the string “TS2016SPRING” in your mail subject line. Your submission will be ignored without such string.
Dr. Feng Li

Dr. Feng Li

{ computing, forecasting and learning with massive machines }