Cauchy convolution with other distribution

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I have a set of data which are probably convolutions of a Cauchy distribution with some other distribution. I am looking for some model for this other distribution so that a tractable analytic formula results. I know that the convolution Cauchy with Cauchy is again Cauchy, but I want the other function in the convolution to have defined first and second moment. Apparently there is a convolution of Cauchy with a normal distribution called Voigt distribution, but there is no analytical formula available. Any ideas?

Thank you very much!
 
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The Cauchy function is a theoretical model for concentration as a function of other concentrations and an equilibrium constant, not a statistical distribution. However I want to fit a distribution of the medians of the equilibrium constant.
 
DrDu said:
Apparently there is a convolution of Cauchy with a normal distribution called Voigt distribution, but there is no analytical formula available.

For what are we seeking an analytical formula - for the probability density function of the convolution ?

Does that amount to saying:

Find a non-negative function [itex]g(x)[/itex] such that [itex]\int_{-\infty}^{\infty} g(x) dx[/itex] exists and [itex]\int_{-\infty}^{\infty} \frac{1}{Ax^2 + Bx + C} g(y-x) dx[/itex] has a closed form solution.
 
Yes, this was my problem. I solved it using a Sips distribution as g, which is a function of ln x rather than x, and a partial fraction decomposition.