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Convolution is a function-valued operation on two functions $f$ and $g$: $\int _{-\infty }^{\infty }f(\tau )g(t-\tau )d\tau$. Often used for obtaining the density of a sum of independent random variables. This tag should also be used for the inverse operation of deconvolution. DO NOT use this tag for convolutional neural networks.
5
votes
Generalization of the Irwin-Hall distribution for general linear combinations of uniform var...
This is not a proper solution, but since no one else has answered in 8 years, I thought it would be useful to offer some intuition, as well as a pragmatic approach, just in case some one else needs it …