Matta, VincenzoBraca, PaoloMarano, StefanoSayed, Ali H.2017-12-192017-12-192017-12-19201610.1109/EUSIPCO.2016.7760499https://infoscience.epfl.ch/handle/20.500.14299/143425Exploiting recent progress [1]-[4] in the characterization of the detection performance of diffusion strategies over adaptive multi-agent networks: i) we present two theoretical approximations, one based on asymptotic normality and the other based on the theory of exact asymptotics; and ii) we develop an efficient simulation method by tailoring the importance sampling technique to diffusion adaptation. We show that these theoretical and experimental tools complement each other well, with their combination offering a substantial advance for a reliable quantitative detection-performance assessment. The analysis provides insight into the interplay between the network topology, the combination weights, and the inference performance, revealing the universal behavior of diffusion-based detectors over adaptive networks.text::conference output::conference proceedings::conference paper