A functional limit theorem for moving averages with weakly dependent heavy-tailed innovations
Author:
Affiliation:
1. Department of Mathematics, University of Rijeka, Rijeka, Croatia
Publisher
Institute of Mathematical Statistics
Subject
Statistics and Probability
Reference28 articles.
1. Astrauskas, J. (1983). Limit theorems for sums of linearly generated random variables. Lithuanian Mathematical Journal 23, 127–134.
2. Avram, F. and Taqqu, M. (1992). Weak convergence of sums of moving averages in the α-stable domain of attraction. Annals of Probability 20, 483–503.
3. Balan, R., Jakubowski, A. and Louhichi, S. (2016). Functional convergence of linear processes with heavy-tailed innovations. Journal of Theoretical Probabability 29, 491–526.
4. Basrak, B. and Krizmanić, D. (2014). A limit theorem for moving averages in the α-stable domain of attraction. Stochastic Processes and Their Applications 124, 1070–1083.
5. Basrak, B., Krizmanić, D. and Segers, J. (2012). A functional limit theorem for partial sums of dependent random variables with infinite variance. Annals of Probability 40, 2008–2033.
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. A functional limit theorem for self-normalized linear processes with random coefficients and i.i.d. heavy-tailed innovations;Lithuanian Mathematical Journal;2023-07
2. Joint functional convergence of partial sums and maxima for moving averages with weakly dependent heavy-tailed innovations and random coefficients;Latin American Journal of Probability and Mathematical Statistics;2023
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