Introduction to Probability · free preview
Superposition, Thinning, Conditioning and Higher Dimensions
Merging independent processes, splitting by labels, conditioning on counts, and Poisson points in the plane, with the inspection and bus paradoxes.
1. Superposition and thinning
Superposition and thinning
2. Conditioning on a shared count
Conditioning on a shared count
3. Spatial Poisson processes
Spatial Poisson processes
4. Merging two streams
Independent processes of rates 2 and 5 merge. What is the merged stream?
5. Thinning a stream
A rate-6 process thins with p = 1/3 to type 1. What is the type-1 process?
6. A merged quiet window
Two independent processes of rates 1 and 2 per hour merge. What is P(no arrivals in a 30-minute window)? Use e^(-1.5) is about 0.223. Enter like 0.223.
7. Labels given the total
A merged stream of rates 2 and 6 has exactly 4 arrivals in a window. The number of type-1 (rate-2) arrivals is Binomial(4, p). What is p? Enter a fraction like 1/4.
8. Nearest star survival
Stars scatter at intensity 40 per square degree. P(no star within radius 0.1 degrees of a point) is e to the minus 40 pi times 0.1 squared. Using pi about 3.14, compute the exponent's value, like 1.26.
9. In your own words
In your own words, state the most important definition, theorem or method of this lesson and explain what it says.
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