Stochastic Processes and Filters

Course Description

Stationary processes. Stochastic integral. Ergodic theorems. Brownian motion. White noise. Martingals. Stopping times. Stochastic diffusion. Stochastic calculus. Ito's integral. Deterministic and stochastic dynamic systems. Prediction and filtering. Wiener filter. Kalman filter. Optimal smoothers. Nonlinear filtering.

Grading System

6 ECTS