Computational methods: sampling and inferential issues

1. Random number generation algorithm:

-  Acceptance- rejection algorithm;- Monte Carlo Methods;- Importance sampling;- Gibbs sampling;- Antithetic variables  

2. Numerical methods for likelihood inference:

- EM algorithm;- Bootstrap;- Jackknife 

3. Monte Carlo and  Monte Carlo Markov Chain