Article (Scientific journals)
Optimal estimation of the local time and the occupation time measure for an α-stable Lévy process
AMORINO, Chiara; Jaramillo, Arturo; PODOLSKIJ, Mark
2024In Modern Stochastics: Theory and Applications, 11 (2), p. 149 - 168
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Keywords :
High frequency data; local time; mixed normal distribution; occupation time; stable Lévy processes; Statistics and Probability; Modeling and Simulation; Statistics, Probability and Uncertainty
Abstract :
[en] A novel theoretical result on estimation of the local time and the occupation time measure of an α-stable Lévy process with α ∈ (1, 2) is presented. The approach is based upon computing the conditional expectation of the desired quantities given high frequency data, which is an L2-optimal statistic by construction. The corresponding stable central limit theorems are proved and a statistical application is discussed. In particular, this work extends the results of [20], which investigated the case of the Brownian motion.
Disciplines :
Mathematics
Author, co-author :
AMORINO, Chiara  ;  University of Luxembourg > Faculty of Science, Technology and Medicine > Department of Mathematics > Team Mark PODOLSKIJ
Jaramillo, Arturo;  Research in Mathematics (CIMAT), Valenciana, Mexico
PODOLSKIJ, Mark  ;  University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Mathematics (DMATH)
External co-authors :
yes
Language :
English
Title :
Optimal estimation of the local time and the occupation time measure for an α-stable Lévy process
Publication date :
March 2024
Journal title :
Modern Stochastics: Theory and Applications
ISSN :
2351-6046
eISSN :
2351-6054
Publisher :
VTeX
Volume :
11
Issue :
2
Pages :
149 - 168
Peer reviewed :
Peer Reviewed verified by ORBi
Funding text :
The authors gratefully acknowledge financial support of ERC Consolidator Grant 815703 “STAMFORD: Statistical Methods for High Dimensional Diffusions.”
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