We present a fluid flow model to analyze backlog-based CSMA policies. The model is obtained using a CSMA fixed point approximation that has been recently proposed and analyzed. We...
Atilla Eryilmaz, Peter Marbach, Asuman E. Ozdaglar
We develop a penalized kernel smoothing method for the problem of selecting nonzero elements of the conditional precision matrix, known as conditional covariance selection. This p...
Abstract. Probabilistic timed automata are an extension of timed automata with discrete probability distributions. Simulation and bisimulation relations are widely-studied in the c...
Comparing with the rapidly increasing acquiring technology for remotely sensed data, the data processing technologies have been following behind, especially in computing speed and ...
Abstract. Recent times have seen an explosive growth in the availability of various kinds of data. It has resulted in an unprecedented opportunity to develop automated data-driven ...