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
Stochastic Calculus
Stochastic Integration
Limitations of Classical Integration
Itô Integral Construction
Simple Processes
Extension to General Processes
Isometry Property
Properties of Itô Integral
Linearity
Martingale Property
Quadratic Variation
Itô's Formula
One-Dimensional Case
Statement and Proof
Chain Rule Interpretation
Multidimensional Case
Applications
Geometric Brownian Motion
Ornstein-Uhlenbeck Process
Stochastic Differential Equations
Definition and Interpretation
Existence and Uniqueness
Lipschitz Conditions
Linear Growth Conditions
Solution Methods
Explicit Solutions
Numerical Methods
Examples
Linear SDEs
Ornstein-Uhlenbeck Process
Cox-Ingersoll-Ross Model
Girsanov's Theorem
Change of Measure
Radon-Nikodym Derivatives
Applications to Finance
Stochastic Exponentials
Definition and Properties
Novikov's Condition
Previous
8. Brownian Motion
Go to top
Next
10. Stationary Processes