Estimation of the memory parameter of the infinite-source Poisson process
DOI10.3150/07-BEJ5123zbMath1127.62070arXivmath/0509371OpenAlexW1992541894MaRDI QIDQ2465274
François Roueff, Philippe Soulier, Gilles Faÿ
Publication date: 9 January 2008
Published in: Bernoulli (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/math/0509371
waveletsPoisson point processesheavy tailssemiparametric estimationlong-range dependenceinternet traffic
Asymptotic properties of nonparametric inference (62G20) Nonparametric estimation (62G05) Non-Markovian processes: estimation (62M09) Queueing theory (aspects of probability theory) (60K25) Numerical methods for wavelets (65T60)
Related Items (10)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Best attainable rates of convergence for estimates of parameters of regular variation
- Is network traffic approximated by stable Lévy motion or fractional Brownian motion?
- Self-similar communication models and very heavy tails.
- Estimation of the memory parameter of the infinite-source Poisson process
- Asymptotic independence and a network traffic model
This page was built for publication: Estimation of the memory parameter of the infinite-source Poisson process