  We introduce the notion of {\em covariance measure structure} for square
integrable stochastic processes. We define Wiener integral, we develop a
suitable formalism for stochastic calculus of variations and we make Gaussian
assumptions only when necessary. Our main examples are finite quadratric
variation processes with stationary increments and the bifractional Brownian
motion.
