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NMST434 Modern statistical methods (official information)

Exercise class: Tuesday 15:40 - 17:10 K3 (S. Nagy)

Assumed knowledge:

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:

Lecture material and actual information