Useful Links
Statistics
Stochastic Processes
1. Foundations of Probability Theory
2. Introduction to Stochastic Processes
3. Discrete-Time Markov Chains
4. Poisson Processes
5. Continuous-Time Markov Chains
6. Renewal Theory
7. Martingales
8. Brownian Motion
9. Stochastic Calculus
10. Stationary Processes
11. Applications in Queueing Theory
12. Applications in Finance
13. Applications in Biology and Population Dynamics
14. Applications in Physics and Engineering
Martingales
Discrete-Time Martingales
Filtrations
Definition and Properties
Natural Filtration
Adapted Processes
Martingale Definition
Conditional Expectation Property
Integrability Conditions
Submartingales and Supermartingales
Definitions
Relationships
Examples
Simple Random Walk
Partial Sums
Branching Process Martingales
Martingale Transforms
Predictable Processes
Discrete Stochastic Integration
Preservation of Martingale Property
Stopping Times
Definition and Properties
Examples of Stopping Times
Stopped Processes
Optional Sampling
Optional Stopping Theorem
Statement and Conditions
Bounded Stopping Times
Applications
Gambler's Ruin
Random Walks
Martingale Convergence
Upcrossing Inequality
Martingale Convergence Theorem
L² Convergence
Uniform Integrability
Applications
Likelihood Ratios
Branching Processes
Urn Models
Previous
6. Renewal Theory
Go to top
Next
8. Brownian Motion