Regression Models
1) Linear regression: Estimation. Inference. Diagnostics.
2) Introduction to Generalized Linear Models: Exponetial family. Estimation. Inference. Diagnostics.
4) Logistic Regression, Multinomial, Ordinal, Poisson.
3) Generalized Additive Models: Smoothing Methods. Penalized Splines. Estimation. Smoothing parameter selection