Parameter estimation with exact distribution for multidimensional Ornstein-Uhlenbeck processes

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Abstract

It is shown that the suitably normalized maximum likelihood estimators of some parameters of multidimensional Ornstein-Uhlenbeck processes with coefficient matrix of a special structure have exactly a normal distribution. This result provides a generalization to an arbitrary dimension of the well-known behavior of the estimator of the period of a complex AR(1) process. © 1996 Academic Press, Inc.

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Pap, G., & Van Zuijlen, M. C. A. (1996). Parameter estimation with exact distribution for multidimensional Ornstein-Uhlenbeck processes. Journal of Multivariate Analysis, 59(2), 153–165. https://doi.org/10.1006/jmva.1996.0058

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