Statistical Learning Course (Fudan 2016 Spring)

Partly in Chinese, implemented with R

0. Lecture Notes

1. EM - Gaussian Mixture

2. Hidden Markov Model

3. Simulation (inverse, acceptance)

4. More Sampling (Gibbs, Metropolis-Hasting, etc)