2017
Topology inference of directed graphs using nonlinear structural vector autoregressive models
ICASSP 2017accepted
Linear structural vector autoregressive models constitute a generalization of structural equation models (SEMs) and vector autoregressive (VAR) models, two popular approaches for topology inference of directed graphs. Although simple and tractable, linear SVARMs seldom capture nonlinearities that ar…