en:cs

**Instructor:** Thierry Denoeux

Description: This course will present the main modern and classical methods of statistical computing, with examples from econometrics. The course will be composed of six chapters structured in two main parts introducing the foundations of statistical computing. Computer projects will be proposed using the R statistical software.

**Program**

- Part I: Optimization
- Continuous optimization
- Combinatorial optimization
- EM algorithm

- Part II: Simulation
- Classical simulation methods
- Markov-Chain Monte Carlo
- Bootstrap

**Recommended reading**: Computational Statistics book by Givens and Hoeting

**Slides**

**Videos**

- Lecture 13 (Oct. 12) (available until Oct. 23, 2021)
- Lecture 14 (Oct. 14) (available until Oct. 25, 2021)
- Lecture 15 (Oct. 19) (available until Oct. 29, 2021)

**Resources**

**Exercises**

**Data**