Requirements:
The knowledge of the statistics and probability theory at the level of courses Mathematical Statistics 1 and 2 (NMSA331 and NMSA332), Probability Theory 1 (NMSA333) and Linear regression (NMSA407).
Among others we will use the following concepts: almost sure convergence, convergence in probability, convergence in distribution, law of large numbers and central limit theorem for independent and identically distributed random vectors. A nice overview (in Czech language) of most of the results that are used in the course is available here.
(Assumed) content of the course:
Exercise classes
Exercise classes accompany the lecture with both theoretical as well as practical examples and illustrations.