Advanced Computational Statistics
- Advanced Simulation methods for generating continuous and discrete random variables
- Smooting data methods, including Kernel and Spline methods
and their applications
- Resampling methods, including Jack- knife
and Bootstrap methods and their applications
- Reducing variance methods, Monte Carlo method, Hiden Markov Models (HMM), Gibbs sampling, Metropolis- Hasting algorithm for estimation of posterior parameters