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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
Brownian Motion
Definition and Construction
Standard Brownian Motion
Axioms and Properties
Gaussian Process Structure
Construction Methods
Limit of Random Walks
Wiener's Construction
Lévy's Construction
Basic Properties
Continuous Sample Paths
Stationary Increments
Independent Increments
Gaussian Increments
Initial Condition
Scaling and Self-Similarity
Scaling Property
Self-Similarity
Fractal Dimension
Sample Path Properties
Continuity
Non-Differentiability
Hölder Continuity
Quadratic Variation
Law of Iterated Logarithm
Martingale Properties
Brownian Motion as Martingale
Quadratic Variation Process
Exponential Martingales
Maximum and Minimum Processes
Running Maximum
Reflection Principle
Distribution of Maximum
Joint Distributions
First Passage Times
Hitting Times for Levels
Distribution of First Passage Times
Inverse Gaussian Distribution
Variations of Brownian Motion
Brownian Motion with Drift
Geometric Brownian Motion
Brownian Bridge
Fractional Brownian Motion
Multidimensional Brownian Motion
Definition and Properties
Independence of Components
Rotational Invariance
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7. Martingales
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9. Stochastic Calculus