Computational statistics
This course deepens your knowledge in statistical programming. The course provides tools useful in design of statistical surveys, estimation, hypothesis testing and Bayesian analysis. The course presents some basic principles for numerical computing, numerical matrix algebra, solutions to equations, function optimization, and simulation techniques
This course gives you knowledge about the basic principles of numerical computing. You will learn how to design and organize algorithms for function optimization, integration and simulation of distributions and how to solve statistical computing problems with help of statistical software. You will also learn how to carry out simulation experiments.
The schedule will be available no later than one month before the start of the course.
We do not recommend print-outs as changes can occur. At the start of the course,
your department will advise where you can find your schedule during the course.
Note that the course literature can be changed up to two months before the start of the course.
Course reports are displayed for the three most recent course instances.
