Computational statistics ku

Sparse and structured matrices. Practical implementation of statistical computations and algorithms. R/C++ and RStudio statistical software development.

The EM-algorithm. Stochastic optimization algorithms. Simulation algorithms and Monte Carlo methods. Nonparametric density estimation. Bivariate smoothing.