Abstract--In the past few years, the problem of distributed consensus has received a lot of attention, particularly in the framework of ad hoc sensor networks. Most methods propose...
Consensus algorithms provide an elegant distributed way for computing the average of a set of measurements across a sensor network. However, the convergence of the node estimates t...
Yin Chen, Roberto Tron, Andreas Terzis, René...
We present a fully four-dimensional, globally convergent, incremental gradient algorithm to estimate the continuous-time tracer density from list mode positron emission tomography...
A discrete-time financial market model is considered with a sequence of investors whose preferences are described by utility functions Un defined on the whole real line. It is s...
Abstract − We address the estimation of quantiles from heavy-tailed distributions when functional covariate information is available and in the case where the order of the quanti...