Krein factorization and parameter identification for Gaussian boundary value processes

Boundary value processes are getting increasing attention recently. By boundary value processes, we mean processes satisfying ordinary or partial differential equations with certain boundary conditions. In this paper, maximum likelihood identification problems for linear stochastic two-point boundary value processes is studied. Krein factorization is obtained for such noncausal processes and is used to evaluate the likelihood functional.