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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
Poisson Processes
Definition and Basic Properties
Counting Process Definition
Poisson Process Axioms
Rate Parameter
Stationary Increments
Independent Increments
Characterizations
Exponential Inter-arrival Times
Poisson Distributed Counts
Uniform Order Statistics
Inter-arrival and Waiting Times
Exponential Distribution
Memoryless Property
Rate Parameter
Waiting Time Distribution
Gamma Distribution
Sum of Exponentials
Residual Life and Age
Properties and Operations
Superposition of Poisson Processes
Independent Processes
Rate Addition
Thinning of Poisson Processes
Random Selection
Bernoulli Thinning
Conditional Properties
Given Number of Events
Uniform Distribution Property
Generalizations
Compound Poisson Processes
Definition and Properties
Jump Sizes
Lévy Processes
Non-Homogeneous Poisson Processes
Time-Dependent Rates
Intensity Functions
Thinning Construction
Spatial Poisson Processes
Poisson Point Processes
Intensity Measures
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3. Discrete-Time Markov Chains
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5. Continuous-Time Markov Chains