Parameter estimation for controlled semilinear stochastic systems: Identifiability and consistency

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Abstract

We consider a controlled stochastic semilinear evolution equation with the drift depending on the unknown parameter. We show that the maximum likelihood estimator is strongly consistent for a class of bounded predictable controls. © 2001 Elsevier Science.

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Goldys, B., & Maslowski, B. (2002). Parameter estimation for controlled semilinear stochastic systems: Identifiability and consistency. Journal of Multivariate Analysis, 80(2), 322–343. https://doi.org/10.1006/jmva.2001.1989

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