Abstract
Statistical inference for a linear stochastic hyperbolic equation with two unknown parameters is studied. Based on observation of coordinates of the solution or their linear combinations (i.e., on the observation window in the space domain), minimum contrast estimators are introduced. Strong consistency and asymptotic normality are proved. The results are applied to stochastic wave equation perturbed by Brownian noise and they are illustrated by a numerical simulation.
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