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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
Stationary Processes
Stationarity Concepts
Strict-Sense Stationarity
Wide-Sense Stationarity
Covariance Stationarity
Relationships Between Concepts
Second-Order Properties
Autocovariance Function
Definition and Properties
Positive Definiteness
Autocorrelation Function
Cross-Covariance Functions
Spectral Representation
Spectral Analysis
Power Spectral Density
Wiener-Khinchin Theorem
Spectral Distribution Function
Filtering in Frequency Domain
Ergodicity
Mean Ergodicity
Covariance Ergodicity
Ergodic Theorems
Time vs Ensemble Averages
Gaussian Processes
Definition and Properties
Stationarity of Gaussian Processes
Spectral Representation
Karhunen-Loève Expansion
Linear Processes
Moving Average Processes
Autoregressive Processes
ARMA Processes
Wold Decomposition
Prediction Theory
Linear Prediction
Wiener Filtering
Kalman Filtering
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11. Applications in Queueing Theory