Thanks Vinux for your reply.

That is precisely where I am confused... If we consider a kernel density estimate as the convolution of a kernel with the true density, then it is infinite divisible. But we know that, for instance, mixture of Gaussians are not infinite divisible, whereas a Gaussian kernel is very often used... I am confused...