Parameter estimation in partially observable coupled stochastic parabolic equations

Abstract:

In this paper, we investigate the maximum likelihood estimator of the parameter of a partially observable coupled stochastic parabolic equation driven by additive white Gaussian noises in time and space. For fixed observation time and noise intensity, the estimator is proved to be asymptotically consistent and with asymptotic normality. A numerical example is provided to illustrate the theoretic results.