Abstract
This is a review of some recent results on parameter estimation by the continuous time observations for two models of observations. The first one is the so called signal in white Gaussian noise and the second is inhomogeneous Poisson process. The main question in all statements is: what are the properties of the MLE if there is a misspecification in the regularity conditions? We consider three types of regularity: smooth signals, signals with cusp-type singularity and discontinuous signals. We suppose that the statistician assumes one type of regularity/singularity, but the real observations contain signals with different type of singularity/regularity. For example, the theoretical (assumed) model has a discontinuous signal, but the real observed signal has cusp-type singularity. We describe the asymptotic behavior of the MLE in such situations.
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References
Chernoyarov OV, Dachian S, Kutoyants YA (2016) On parameter estimation for cusp-type signals. Ann Inst Stat Math. doi:10.1007/s10463-016-0581-x
Dachian S (2003) Estimation of cusp location by Poisson observations. Stat Inference Stoch Process 6(1):1–14
Dachian SYu, Kutoyants YA (2017) On misspecification in regularity and properties of estimators for Poisson processes (submitted)
Huber OJ (1981) Robust statistics. Wiley, New York
Ibragimov IA, Khasminskii RZ (1975) An estimator of the parameter of a signal in Gaussian white noise. Probl Inf Transm 10:31–46
Ibragimov IA, Khasminskii RZ (1975) Parameter estimation for a discontinuous signal in white Gaussian noise. Probl Inf Transm 11:203–212
Ibragimov IA, Khasminskii RZ (1981) Statistical estimation—asymptotic theory. Springer, New York
Kutoyants YuA (1977) Estimation of signal parameter in Gaussian noise. Probl Inf Transm 13(4):266–271
Kutoyants YuA (1994) Identification of dynamical systems with small noise. Kluwer Academic Publisher, Dordrecht
Kutoyants YuA (1998) Statistical inference for spatial Poisson processes. Springer, New York
Kutoyants YuA (2017) Introduction to Statistics of Poisson Processes (to appear)
Stigler SM (2010) The changing history of robustness. Am Stat 64(4):277–281
Terent’yev A (1968) Probability distribution of a time location of an absolute maximum at the output of a synchronized filter. Radio-eng Electron 13:652–657
Acknowledgements
I would like to thank the Reviewer for the careful reading this manuscript and several useful advices. This work was done under partial financial support of the grant RSF number 15-11-10022.
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Kutoyants, Y.A. The asymptotics of misspecified MLEs for some stochastic processes: a survey. Stat Inference Stoch Process 20, 347–367 (2017). https://doi.org/10.1007/s11203-017-9162-8
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DOI: https://doi.org/10.1007/s11203-017-9162-8
Keywords
- Parameter estimation
- Cusp-type singularity
- Small noise
- Misspecification in regularity
- Gaussian process
- Poisson process