On restricted linear estimation for regression in stochastic processes

In this paper the problem of restricted linear estimation for regression in stochastic processes is analyzed from different viewpoints, using RKHS methods. Of special interest is a relationship with an extended regression problem. Applications of the results to finite dimensional situations are also given.