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Standard maximum likelihood drift parameter estimator in the homogeneous diffusion model is always strongly consistent

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  • Mishura, Yuliya

Abstract

We consider the homogeneous stochastic differential equation with unknown parameter to be estimated. We prove that the standard maximum likelihood estimate is strongly consistent under very mild conditions. The conditions for strong consistency of the discretized estimator are established as well.

Suggested Citation

  • Mishura, Yuliya, 2014. "Standard maximum likelihood drift parameter estimator in the homogeneous diffusion model is always strongly consistent," Statistics & Probability Letters, Elsevier, vol. 86(C), pages 24-29.
    • Handle: RePEc:eee:stapro:v:86:y:2014:i:c:p:24-29
    DOI: 10.1016/j.spl.2013.12.004
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    References listed on IDEAS

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    1. M.L. Kleptsyna & A. Le Breton, 2002. "Statistical Analysis of the Fractional Ornstein–Uhlenbeck Type Process," Statistical Inference for Stochastic Processes, Springer, vol. 5(3), pages 229-248, October.
    2. Jankunas, Andrius & Khasminskii, Rafail Z., 1997. "Estimation of parameters of linear homogeneous stochastic differential equations," Stochastic Processes and their Applications, Elsevier, vol. 72(2), pages 205-219, December.
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