The modeling and analysis of computer communications networks give rise to a variety of
interesting statistical problems. This chapter focuses on network tomography, a term used to …

The statistical problem for network tomography is to infer the distribution of X, with mutually
independent components, from a measurement model Y= AX, where A is a given binary …

Many regularization schemes for high-dimensional regression have been put forward. Most
require the choice of a tuning parameter, using model selection criteria or cross-validation …

Stop line detectors are one of the most deployed traffic data collection technologies at
signalized intersections today. Newly emerging probe vehicles are increasingly receiving …

In a communication network, point-to-point traffic volumes over time are critical for designing
protocols that route information efficiently and for maintaining security, whether at the scale …

This volume addresses the concept of radio resource allocation for cellular communications
systems operating in congested and contested environments with an emphasis on end-to …

One of the purposes of network tomography is to infer the status of parameters (eg, delay) for
the links inside a network through end-to-end probing between (external) boundary nodes …

The supplementary materials, stored as a zip archive, include data and additional numerical
results for the applications in Section 5. The data comprise link-path incidence matrices …

Network tomography is a powerful tool to monitor the internal state of a closed network that
cannot be measured directly, with broad applications in the Internet, overlay networks, and …

Estimation of link delay densities in a computer network, from source-destination delay
measurements, is of great importance in analyzing and improving the operation of the …