The Dynkin isomorphisim associates a gaussian field to a
Markov chain. These Gaussian fields can be use as priors for
prediction and time series analysis. the older construction gives
fields with all covariances positive. A parallel construction of
Diaconis-Evans gives fields with all covariances negitive. This work
is extended to allow general covariance sign patterns. Applications
and algorithms will also be discussed.