Invariance principles for some FARIMA and nonstationary linear processes in the domain of a stable distribution
DOI10.1007/s00440-011-0374-3zbMath1271.60050arXiv1007.0576OpenAlexW2055960958MaRDI QIDQ1934357
William P. McCormick, Philippe Barbe
Publication date: 28 January 2013
Published in: Probability Theory and Related Fields (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1007.0576
fractional Brownian motioninvariance principleFARIMA processfractional Lévy processesnon-Gaussian stable distribution
Fractional processes, including fractional Brownian motion (60G22) Sums of independent random variables; random walks (60G50) Stable stochastic processes (60G52) Functional limit theorems; invariance principles (60F17)
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- Veraverbeke's theorem at large: on the maximum of some processes with negative drift and heavy tail innovations
- Asymptotics of trimmed CUSUM statistics
- Stochastic calculus for convoluted Lévy processes
- What portion of the sample makes a partial sum asymptotically stable or normal?
- Convergence to a stable distribution via order statistics
- Fractional Lévy processes with an application to long memory moving average processes
- Asymptotic expansions for infinite weighted convolutions of heavy tail distributions and applications
- Upper and lower class sequences for minimal uniform spacings
- Understanding Heavy Tails in a Bounded World or, is a Truncated Heavy Tail Heavy or Not?
- Heavy-Tail Phenomena
- The Law of the Iterated Logarithm for Empirical Distribution
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