Notes & Code
Notes on Factor Models
Teaching Notes
Macroeconometrics
(PhD Course — Teaching Assistant)
Others
Econometrics II
(Master’s Level — Instructor)
- Matrix Algebra
- Conditional Expectation,
Linear Regression - Large-Dimensional Regression
- Maximum Likelihood Estimation
- Support Vector Machines
- Kernel Methods
- Multivariate Regression and Classification
- Nonparametric Methods
- Random Forest,
AdaBoost,
Gradient Boosting - Time Series Basics
- Neural Networks
- Asymptotic Theory
- Generalized Method of Moments
