Teaching

@ Beijing Normal University

• Statistical Computing (2024 Spring update): Syllabus
  • lec 0. Introduction;
  • lec 1. Solving Nonlinear Equations;
  • lec 2. EM;
    • lec 2.1. EM Cases;
    • lec 2.2. Hidden Markov Model;
  • lec 3. Monte Carlo;
  • lec 4. MCMC;
    • lec 4.1. More MCMCs;
    • lec 4.2. Variational Inference and Pyro;
    • lec 4.3. Markov Random Field;
  • lec 5. Bootstrap and Permutation Test;

@ The Chinese University of Hong Kong

• STAT2005 Programming Languages for Statistics:
  • Tut 1. Introduction to R;
  • Tut 2. Random Numbers;
  • Tut 3. Statistical Graphics;
  • Tut 4. Attributes;
  • Tut 5. Debugging, Outer and Objects;
  • Tut 6. Matrix, R packages;
  • Tut 7. SAS, ggplot2;
  • Tut 8. SAS data set;
  • Tut 9. Data Manipulation;
  • Tut 10. Controlling Output Contents

• STAT2006 Basic Concepts in Statistics and Probability II: link

• Fundamentals of Deep Learning Workshop: link

• Fundamentals of Accelerated Data Science: link