On the convolution of inverse Gaussian and exponential random variables

Abstract

We consider the open problem of convolving the first-passage time of a Wiener diffusion process with drift μ and variance parameter with an independent exponential random variable with rate λ. We show that if λ is larger than then the convolution density may be represented using the real and complex parts of the complex error function. Potential applications are briefly mentioned.