What is the distribution of difference of two Gamma Distributions ?

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Discussion Overview

The discussion revolves around the distribution of the difference between two gamma distributions with the same scale parameter but different shape parameters. Participants are particularly interested in calculating the probability that one gamma-distributed random variable is greater than another, specifically focusing on the case where the shape parameters are related by a small perturbation.

Discussion Character

  • Mathematical reasoning
  • Exploratory
  • Debate/contested

Main Points Raised

  • One participant poses the problem of finding the distribution of the difference between two gamma distributions, specifying the parameters involved and the probability of interest, P(X-Y>0).
  • Another participant suggests integrating a function over a defined region to approach the problem, indicating a method to express the probability in terms of an integral.
  • There is a clarification regarding the parameters in the function, with a participant noting a correction to the shape parameter in the original function.
  • One participant expresses a limit to be taken as epsilon approaches zero, which is central to the problem's resolution.
  • A participant questions the limits of integration for the inner integral, leading to a discussion about whether the focus should be on P(X > Y) or P(X < Y).
  • Another participant agrees with the need to compute P(X > Y) and suggests that the probability is expected to be slightly greater than 1/2, influenced by the parameters involved.
  • A participant expresses confusion about the origins of a specific integral mentioned earlier in the discussion, seeking clarification on its relevance to the original problem.

Areas of Agreement / Disagreement

Participants generally agree on the need to compute the probability P(X > Y) and the significance of the limit as epsilon approaches zero. However, there is some disagreement regarding the limits of integration and the interpretation of the integral involved in the problem.

Contextual Notes

The discussion includes various assumptions about the parameters and the behavior of the gamma distributions, as well as the integration limits, which remain unresolved. The participants have not reached a consensus on the correct approach to the integration or the implications of the results.

ashish1789kgp
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What is the distribution of the difference of two gamma distributions with same scale parameter, and shape parameter of the first one is k(1+e), e -> 0 and second one is k.

What i exactly want to know is the following.
X~Gamma(K(1+e),\theta)
Y~Gamma(K,\theta)
Prob (X>Y) or P(X-Y)>0.

While trying to integrate i am stuck at the following intermediate step.

int (0,inf) (y)^(Ke-1) exp(-y/"\theta") Gamma(K,y/"\thata") dy.

Please suggest any way out.
 
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I don't know if I can solve the problem, but let me see if I can state it.

You want to integrate the function
f(x,y) = \frac{ x^{\epsilon}exp(-x/\theta) y^k exp(-y/\theta)}{\theta^{1 + \epsilon} \Gamma(1+\epsilon) \theta^k \Gamma(k) }

over the region in the first quadrant defined by X > Y

Then you want to take the limit of the answer as \epsilon approaches zero.
 
Thanks for your interest.

In the function you have written, in place of \eps it is k*(1+\eps).
But this is the original function. I tried to solve it and went couple of rounds ahead, when i got stuck at the point i mentioned in my first post.
 
So the problem is to find:

\lim_{\epsilon \rightarrow 0 } \int_0^\infty \int_y^\infty \frac{ x^{k(1+\epsilon)}exp(-x/\theta) y^k exp(-y/\theta)}{\theta^{k(1 + \epsilon)} \Gamma(k(1+\epsilon)) \theta^k \Gamma(k) } dx dy
 
for the integral dx, the limit is from 0 to y, instead of y to \inf [\tex]
 
Why would the limit for dx be 0 to y ? Do we want to compute P(X > Y) or do we want to compute P(X < Y) ?

Intuitively, I would expect the answer to this problem to be 1/2.
 
Yes, you are right. It will be from y to \inf.

We are interested to show that it is greater than 1/2 by a small constant factor that is a function of \epsilon and may be K and \theta.
 
I don't understand how the integration that you asked about arises in solving the original problem.

int (0,inf) (y)^(Ke-1) exp(-y/"\theta") Gamma(K,y/"\thata") dy.

\int_0^\infty y^{ke-1} exp( - y/\theta) \Gamma(k, y/\theta) dy

Have I interpreted the integral correctly?
 

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