Calculating Probability of a Poisson Process w/ Parameter λ

chimychang
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I need some help on the following question: Let N() be a poisson process with parameter [tex]\lambda[/tex].

I need to find that probability that

[tex]N((1,2]) = 3[/tex] given [tex]N((1,3]) > 3[/tex]

I know that this is equal to the probability that

[tex]P(A \cap B) / P(B)[/tex] where A = N((1,2]) and B = N((1,3]) > 3, but I'm not sure where to go from there.
 
on Phys.org
chimychang said:
[tex]P(A \cap B) / P(B)[/tex] where A = N((1,2]) and B = N((1,3]) > 3, but I'm not sure where to go from there.
Yes, that's the right start. Can you write down the value of P(B)?
For P(A&B), you have "N((1,2])=3 and N((1,3]) > 3". Can you translate that into a combination of the event A and some fact concerning N((2,3])?
 
chimychang said:
I need some help on the following question: Let N() be a poisson process with parameter [tex]\lambda[/tex].

I need to find that probability that

[tex]N((1,2]) = 3[/tex] given [tex]N((1,3]) > 3[/tex]

I know that this is equal to the probability that

[tex]P(A \cap B) / P(B)[/tex] where A = N((1,2]) and B = N((1,3]) > 3, but I'm not sure where to go from there.

Are you sure you have copied the problem correctly? Getting P{N(1,2]=3|N(1,3]>3} is not too difficult (just use the definition and known expressions), but the answer is not particularly enlightening. However, the alternative problem P{N(1,3]>3|N(1,2]=3} gives a much nicer answer, and one that reveals an important property of Poisson processes.
 

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