| (*)Review of probability: Conditional probabilities and conditional expectations
Basic concepts for stochastic processes. Discrete and continuous state and discrete and continuous time stochastic processes
Discrete-time Markov chains
Introduction to point processes, renewal processes, exponential distribution and the Poisson process
MA-, ARMA-, ARIMA- and GARCH processes
Simulation of stochastic processes
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