Joint sum-and-max limit for a class of long-range dependent processes with heavy tails
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Publication:6592128
DOI10.1007/s10959-023-01289-yzbMATH Open1546.6006MaRDI QIDQ6592128
Publication date: 24 August 2024
Published in: Journal of Theoretical Probability (Search for Journal in Brave)
weak convergencelong-range dependencestable subordinatorasymptotic dependenceinfinitely divisible process
Cites Work
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- Functional central limit theorem for heavy tailed stationary infinitely divisible processes generated by conservative flows
- An asymptotic evaluation of the tail of a multiple symmetric \(\alpha\)- stable integral
- Time-changed extremal process as a random sup measure
- Stationary self-similar extremal processes
- Classes of mixing stable processes
- A note on the asymptotic independence of the sum and maximum of strongly mixing stationary random variables
- A functional non-central limit theorem for multiple-stable processes with long-range dependence
- Extremal theory for long range dependent infinitely divisible processes
- Maxima of long memory stationary symmetric \(\alpha\)-stable processes, and self-similar processes with stationary max-increments
- Asymptotic distribution for the sum and maximum of Gaussian processes
- Stochastic-Process Limits
- Stochastic Processes and Long Range Dependence
- The joint limiting distribution of sums and maxima of stationary sequences
- On the Convergence of Closed-Valued Measurables Multifunctions
- On the asymptotic joint distribution of the sum and maximum of stationary normal random variables
- Asymptotic distribution of sum and maximum for Gaussian processes
- On joint weak convergence of partial sum and maxima processes
- Theory of Random Sets
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