most citedOn the Estimation of the Heavy-Tail Exponent in Time Series using the Max-Spectrum

10 citations · 23 across the 5 of their papers we have counts for

collaborators

5 papers

stat.AP20104 cited

Network-wide Statistical Modeling and Prediction of Computer Traffic

Joel Vaughan, Stilian A. Stoev, George Michailidis

In order to maintain consistent quality of service, computer network engineers face the task of monitoring the traffic fluctuations on the individual links making up the network. H…

cs.DS20102 cited

Max-stable sketches: estimation of Lp-norms, dominance norms and point queries for non-negative signals

Stilian A. Stoev, Murad S. Taqqu

Max-stable random sketches can be computed efficiently on fast streaming positive data sets by using only sequential access to the data. They can be used to answer point and Lp-nor…

cs.NI20102 cited

Global Modeling and Prediction of Computer Network Traffic

Stilian A. Stoev, George Michailidis, Joel Vaughan

We develop a probabilistic framework for global modeling of the traffic over a computer network. This model integrates existing single-link (-flow) traffic models with the routing…

stat.ME201010 cited

On the Estimation of the Heavy-Tail Exponent in Time Series using the Max-Spectrum

Stilian A Stoev, George Michailidis

This paper addresses the problem of estimating the tail index of distributions with heavy, Pareto-type tails for dependent data, that is of interest in the areas of finance, insura…

stat.CO20105 cited

Conditional Sampling for Spectrally Discrete Max-Stable Random Fields

Yizao Wang, Stilian A. Stoev

Max-stable random fields play a central role in modeling extreme value phenomena. We obtain an explicit formula for the conditional probability in general max-linear models, which…