Stationary random fields with linear regressions

We analyze and identify stationary fields with linear regressions and quadr atic conditional variances. We give sufficient conditions to determine one- dimensional distributions uniquely as normal and as certain compactly suppo rted distributions. Our technique relies on orthogonal polynomials, which u nder our assumptions turn out to be a version of the so-called continuous q -Hermite polynomials.