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Knowledge requirements for participationWritten on 07.04.25 by Henryk Zähle Dear students, Thank you for your interest in the lecture course "Mathematical Statistics". Before the course starts, I would like to point out once again that the course is primarily aimed at students of the following three study programmes: - Mathematics Dear students, Thank you for your interest in the lecture course "Mathematical Statistics". Before the course starts, I would like to point out once again that the course is primarily aimed at students of the following three study programmes: - Mathematics For successful participation, a sound (!) knowledge of measure-theoretical stochastics, as taught e.g. in the mathematics courses "Stochastics 1" and "Stochastics 2", is required. Among other things, it is assumed that you are familiar with the following concepts: general probability spaces, (infinite) product measures and (infinite) product spaces, absolute continuity, general densities, random variables, expected value and (co-)variance, stochastic convergence concepts, strong and weak limit theorems (SLLN, CLT, ...), multivariate normal distribution, multivariate CLT, general conditional expectations, general conditional distributions (i.e. special probability kernels), etc. Best regards |