BME Természettudományi Kar: Department of Stochastics

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Course categories:

Advanced Fractal Geometry 1 - BMETE95MM47

Advanced Theory of Dynamical Systems - BMETE95MM12

Applied Statistics and Likelihood Methods (ASLM) - BMETE95MM37

Applied Stochastics - BMETE95AM42

Efficient Data Analysis with kdb+ - BMETE95AM44

Ergodic Theory and Dinamical Systems - BMETE95AM22

Extreme Value Theory - BMETE95MM16

Fourier Analysis and Fractals - BMETE957306

Fractals and Geometric Measure Theory - BMETE95MM06

Insurance Mathematics - BMETE95MM36

Insurance Mathematics 2 - BMETE95MM17

Learning Algorithms for Stochastic Processes - BMETE95MM31

Limit- and Large Deviation Theorems of Probability Theory - BMETE95MM10

Longitudinal Data Analysis and Time Series - BMETE95MM43

Macroeconomics and Finance for Mathmeaticians - BMETE95MM30

Markov Processes and Martingales - BMETE95MM07

Mathematical Methods of Statistical Physics - BMETE95MM27

Mathematical Methods of Statistical Physics - BMETE959730

Mathematical Percolation Theory - BMETE95MM24

Mathematical Statistics 1 - BMETE95AM31

Mathematical Statistics and Information Theory - BMETE95MM05

Mathematics EP3 - BMETE95AX21

Mathematics of Insurance - BMETE95AM11

Multivariate Statistics - BMETE95MM15

Multivariate Statistics Reading Course - BMETE95MM33

Multivariate Statistics with Applications in Economy - BMETE95MM18

Nonparametric Statistics - BMETE95MM20

Probability on Graphs and Groups - BMETE95MM45

Random Fractals - BMETE95MM46

Statistical Program Packages 2 - BMETE95MM09

Stochastic Analysis - BMETE95MM41

Stochastic Analysis and its Applications - BMETE95MM04

Stochastic Differential Equations - BMETE95MM08

Stochastic Models - BMETE95MM11

Stochastic Models in Bioinformatics - BMETE95AM20

Stochastics Student Seminar - BMETE95MM35