Graduate Cauchy convolution with other distribution

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The discussion revolves around finding a model for a distribution that, when convolved with a Cauchy distribution, yields a tractable analytical formula. The original poster seeks a distribution with defined first and second moments, noting that while the convolution of two Cauchy distributions remains Cauchy, they are interested in alternatives like the Voigt distribution, which lacks an analytical formula. Participants inquire about the specifics of the Cauchy distribution in question and its application in modeling equilibrium constants. The original poster clarifies that they are looking for a probability density function for the convolution and ultimately found a solution using a Sips distribution combined with partial fraction decomposition. The conversation highlights the complexities of convolution involving Cauchy distributions and the search for viable analytical solutions.
DrDu
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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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I'm rather curious how you know it's a convolution with a Cauchy distribution.
Do you have any information about this Cauchy distribution? Is it the standard Cauchy distribution? Do you know its median?
 
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 g(x) such that \int_{-\infty}^{\infty} g(x) dx exists and \int_{-\infty}^{\infty} \frac{1}{Ax^2 + Bx + C} g(y-x) dx 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.
 
If there are an infinite number of natural numbers, and an infinite number of fractions in between any two natural numbers, and an infinite number of fractions in between any two of those fractions, and an infinite number of fractions in between any two of those fractions, and an infinite number of fractions in between any two of those fractions, and... then that must mean that there are not only infinite infinities, but an infinite number of those infinities. and an infinite number of those...

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