Efficiency scores of firms are measured by their distance to an estimated production frontier.
The economic literature proposes several nonparametric frontier estimators based on the …

The performance evaluation of video transport mechanisms becomes increasingly important
as encoded video accounts for growing portions of the network traffic. Compared to the …

Accurate and real-time prediction of network traffic can not only help system operators
allocate resources rationally according to their actual business needs but also help them …

Long-memory, or more generally fractal, processes are known to play an important role in
many scientific disciplines and applied fields such as physics, geophysics, hydrology …

Recent work on face identification using continuous density Hidden Markov Models (HMMs)
has shown that stochastic modelling can be used successfully to encode feature information …

To support bursty traffic on the Internet (and especially WWW) efficiently, optical burst
switching (OBS) is proposed as a way to streamline both protocols and hardware in building …

A wavelet-based tool for the analysis of long-range dependence and a related semi-
parametric estimator of the Hurst parameter is introduced. The estimator is shown to be …

The recent discovery of scaling phenomena in modern communication networks involving
self-similarity or fractals and power-law or heavy-tailed distributions is yet another realization …

The NARX network is a dynamical neural architecture commonly used for input–output
modeling of nonlinear dynamical systems. When applied to time series prediction, the NARX …

Network calculus is a theory dealing with queuing systems found in computer networks. Its
focus is on performance guarantees. Central to the theory is the use of alternate algebras …