This paper shows that an arbitrary scale mixture of normal laws can be a stationary distribution of a stochastic difference equation (first-order autoregressive scheme) with random coefficients.
An example is given of what a (random) diffusion coefficient should look like for a particular mixture to be a stationary distribution.
Keywords:
stochastic difference equation, first-order autoregression with random coefficients, stationary distribution, mixture of normal laws
