Simulation Methods
Description
Pseudorandom numbers. The Monte Carlo approach. Generating discrete and continuous random variables and stochastic processes. Statistical analysis of simulated data. Variance reduction techniques. Markov chain Monte Carlo methods. Applications.
Division: Statistics, Probability and Operational Research