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Statistical inference for discretely observed fractional diffusion processes with random effects.
Commun. Math. Stat., DOI: 10.1007/s40304-024-00414-5 (2025)
We address statistical inference for linear fractional diffusion processes with random effects in the drift. In particular, we investigate maximum likelihood estimators (MLEs) of the random effect parameters. First of all, we estimate the Hurst parameter H∈(0,1) from one single subject. Second, assuming that the Hurst index H∈(0,1) is known, we derive the MLEs and examine their asymptotic behavior as the number of subjects under study becomes large, with random effects being normally distributed.
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Publikationstyp
Artikel: Journalartikel
Dokumenttyp
Wissenschaftlicher Artikel
Schlagwörter
Asymptotic Normality ; Fractional Brownian Motion ; Long-range Memory Process ; Random Effects Model ; Strong Consistency
ISSN (print) / ISBN
2194-6701
e-ISSN
2194-671X
Zeitschrift
Communications in Mathematics and Statistics
Verlag
Springer
Verlagsort
Tiergartenstrasse 17, D-69121 Heidelberg, Germany
Begutachtungsstatus
Peer reviewed
Institut(e)
Institute of Computational Biology (ICB)
Förderungen
Moroccan-German Scientific and Technics Programme
Morocco-German Scientific program
Morocco-German Scientific program