Geodesic
Consistency and Asymptotic Normality of Maximum Likelihood Estimation for Gaussian Markov Processes from Discrete Obersvations.
Metrika, Tome 43 (1996) no. 3, pp. 69-90

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Mots-clés : weak consistency, asymptotic normality, maximum likelihood estimation, discrete observations, independent Gaussian Markov processes, Ornstein Uhlenbeck process, asymptotic simultaneous confidence regions 
Birgit Gaschler. Consistency and Asymptotic Normality of Maximum Likelihood Estimation for  Gaussian Markov Processes from Discrete Obersvations.. Metrika, Tome 43 (1996) no. 3, pp. 69-90. http://geodesic.mathdoc.fr/item/MET_1996__43_3_176634/
@article{MET_1996__43_3_176634,
     author = {Birgit Gaschler},
     title = {Consistency and {Asymptotic} {Normality} of {Maximum} {Likelihood} {Estimation} for  {Gaussian} {Markov} {Processes} from {Discrete} {Obersvations.}},
     journal = {Metrika},
     pages = {69--90},
     year = {1996},
     volume = {43},
     number = {3},
     zbl = {0855.62068},
     url = {http://geodesic.mathdoc.fr/item/MET_1996__43_3_176634/}
}
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