Lecture notes will be provided as the course progresses.
Lecture 1: Recap of Probability and Statistics (Lab session 1)
Lecture 2: Properties of Exponential Families (Lab session 2)
Lecture 3: Parameter Estimation and Inference
Lecture 4: Generalized Linear Models
Lecture 5: Survival Analysis and Cox Model
Lecture 6: Missing Data and EM Algorithm
Lecture 7: Empirical Bayes
Lecture 8: Introduction to Semiparametric Models
Lecture 9: Estimation of Average Treatment Effect
Lecture 10: Introduction to Nonparametric Statistics
Lecture 11: Local Polynomial and Spline Regression
Lecture 12: Wavelet Thresholding
Lecture 13: Shape-constrained Regression and Course Recap