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Stochastische Prozesse (Summer Semester 2008)

Schedule
Lecture: Tuesday 8:00-9:30 Seminarraum 12
Wednesday 8:00-9:30 Seminarraum 12
Problem class: Monday 14:00-15:30 Seminarraum 12

Contents

The first part of the course considers Markov-chains in discrete and continuous time. Applications in telecommunication, biology and physics are given. The main aim is the derivation of convergence results.

The second part of the course deals with the Brownian motion, in particular existence, path behavior and the Markov property.

Requirements

Probability (Stochastik) 2


Important!!

The course starts Monday 14th of April at 2 o'clock.

Examination

By appointment.

References

Bremaud, P. (1999): Markov Chains: Gibbs Fields, Monte Carlo Simulation and Queues. Springer, New York.
Karatzas, I. and S. Shreve (1991): Brownian motion and stochastic calculus. Springer, New York.
Resnick, S. (1992): Adventures in Stochastic Processes. Birkhäuser, Boston.
Ross, S. (1996): Stochastic Processes. Wiley, New York.