Measure Theory and Filtering: Introduction and Applications

Part I. Theory: 1. Basic probability concepts 2. Stochastic processes 3. Stochastic calculus 4. Change of measures Part II. Applications: 5. Kalman filtering 6. Financial applications 7. A genetics model 8. Hidden populations.