What is the distribution of A given B and B's distribution?

In summary, the problem is to find the marginal distribution of the discrete A, the joint pdf of A and B is f(A,B)=Poisson(A;B)*Exp(B;μ), so that the marginal pdf of A is ∫dB f(A,B)=∫dB Poisson(A;B)*Exp(B;μ). The problem is to find the Gamma function for k=0, and to solve for k.
  • #1
spitz
60
0

Homework Statement



I need to find the distribution of [itex]A[/itex]

Homework Equations



[itex]A|B\sim \text{Poisson}(B)[/itex]

[itex]B\sim \text{Exponential}(\mu)[/itex]

The Attempt at a Solution


[itex]\displaystyle P(A=k)=E[P(A=k|B)]=E\left[e^{-B}\cdot\frac{B^k}{k!}\right]=\ldots[/itex]

Not sure how to calculate this...
 
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  • #2
spitz said:

Homework Statement



I need to find the distribution of [itex]A[/itex]

Homework Equations



[itex]A|B\sim \text{Poisson}(B)[/itex]

[itex]B\sim \text{Exponential}(\mu)[/itex]

The Attempt at a Solution


[itex]\displaystyle P(A=k)=E[P(A=k|B)]=E\left[e^{-B}\cdot\frac{B^k}{k!}\right]=\ldots[/itex]

Not sure how to calculate this...

Let me guess the A|B is Poisson with parameter B, where B is exponential with parameter μ, so A is discrete and B is continuous, the problem is finding the marginal distribution of the discrete A, the joint pdf of A and B is f(A,B)=Poisson(A;B)*Exp(B;μ), so that the marginal pdf of A is ∫dB f(A,B)=∫dB Poisson(A;B)*Exp(B;μ);
If it ends up becoming evaluating [itex]\int dB e^{-B} B^k[/itex] for some k, start with k=0, and try integration by parts to come up with a recursive relation from k to k+1, and evaluate in closed form if possible.
 
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  • #3
[tex]=\displaystyle\int_{0}^{\infty}e^{-b}\frac{b^k}{k!}\mu e^{-\mu b}db[/tex]

[tex]=\frac{\mu}{k!}\displaystyle\int_{0}^{\infty}b^ke^{-b(1+\mu)} db[/tex]

This is where I am at... not sure what to do now.
 
  • #4
spitz said:
[tex]=\displaystyle\int_{0}^{\infty}e^{-b}\frac{b^k}{k!}\mu e^{-\mu b}db[/tex]

[tex]=\frac{\mu}{k!}\displaystyle\int_{0}^{\infty}b^ke^{-b(1+\mu)} db[/tex]

This is where I am at... not sure what to do now.

Integration by parts to go from k to k+1
 
  • #5
spitz said:
[tex]=\displaystyle\int_{0}^{\infty}e^{-b}\frac{b^k}{k!}\mu e^{-\mu b}db[/tex]

[tex]=\frac{\mu}{k!}\displaystyle\int_{0}^{\infty}b^ke^{-b(1+\mu)} db[/tex]

This is where I am at... not sure what to do now.

Change variables in the integral; you ought to be able to get a Gamma function; seehttp://en.wikipedia.org/wiki/Gamma_function .

RGV
 
  • #6
[itex]= \frac{\mu}{k!}\frac{\Gamma(k+1)}{(1+\mu)^{k+1}}= \frac{\mu}{(1+\mu)^{k+1}}[/itex]

[itex]= \frac{\mu}{1+\mu}\left(1-\frac{\mu}{1+\mu}\right)^k[/itex]

Would this be geometric then? What is the parameter?
 
Last edited:

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