STAT 4345 Introduction to Simulation
The course covers random number generation; generating discrete and continuous random variables; generating multivariate normally distributed vectors; Monte Carlo simulation experiments; Monte Carlo integration and variance reduction; Monte Carlo methods in Statistical Inference; Resampling Techniques such as Jack-Knife and Boot Strap; Simulation of Stochastic Processes. Statistical software like R and Python will be used during classes.