Poisson process

Dependencies:

1. Counting process
2. Poisson distribution

A poisson process with parameter $\lambda$ is a counting process $\{N(t): t \ge 0\}$ with independent and stationary increments such that $N(t) \sim \operatorname{Poisson}(\lambda t)$.

Dependency for: None

Info:

• Depth: 9
• Number of transitive dependencies: 19

Transitive dependencies:

1. /sets-and-relations/de-morgan-laws
2. /sets-and-relations/countable-set
3. /analysis/topological-space
4. Series expansion for e^x (incomplete)
5. σ-algebra
6. σ-algebra is closed under countable intersections
7. Measure
8. Probability
9. Conditional probability (incomplete)
10. Independence of events
11. Independence of composite events
12. Generated σ-algebra
13. Measurable function
14. Borel algebra
15. Generators of the real Borel algebra (incomplete)
16. Random variable
17. Poisson distribution
18. Independence of random variables (incomplete)
19. Counting process