Stochastic Processes with Applications

This course deals with Markov processes. Subjects are:

- Discrete and continuous-time Markov processes on finite and discrete state spaces: transition probabilities, master equation, stationary distribution, ergodicity, generators.

- Diffusion processes: Brownian motion, diffusion equation, diffusion with drift, reversible diffusions, stationary distribution, Fokker-Planck equation.