Regular Variation of Infinite Series of Processes with Random Coefficients
From MaRDI portal
Publication:3191887
DOI10.1080/15326349.2014.935947zbMath1312.60059arXiv1401.8012OpenAlexW2157887595MaRDI QIDQ3191887
Publication date: 25 September 2014
Published in: Stochastic Models (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1401.8012
sample pathsregular variationlinear processesSkorokhod spaceBreiman's lemmastochastic recurrence equation
Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Sample path properties (60G17) Stable stochastic processes (60G52)
Related Items (1)
Cites Work
- Unnamed Item
- Limit theorems for sums of linearly generated random variables
- Extremal behavior of stochastic integrals driven by regularly varying Lévy processes
- Tail probabilities for infinite series of regularly varying random vectors
- Limit theory for moving averages of random variables with regularly varying tail probabilities
- Regular variation in the tail behaviour of solutions of random difference equations
- Limit theory for bilinear processes with heavy-tailed noise
- Regular variation of GARCH processes.
- On convergence toward an extreme value distribution in \(C[0,1\)]
- The supremum of a negative drift random walk with dependent heavy-tailed steps.
- Extreme value theory for space-time processes with heavy-tailed distributions
- Extremal behavior of regularly varying stochastic processes
- On Interchanging Limits and Integrals
- Point processes, regular variation and weak convergence
- Moving averages with random coefficients and random coefficient autoregressive models
- An Introduction to the Theory of Point Processes
- Heavy-Tail Phenomena
- Limit Theorems for Moving Averages with Random Coefficients and Heavy-Tailed Noise
This page was built for publication: Regular Variation of Infinite Series of Processes with Random Coefficients