We first review the concepts fundamental to the statistical inference procedures using nonparametric regression models. The global error properties of an estimator over its parameter space are employed to define a general framework that puts various existing optimality criteria and heuristics...

There has been a rich interplay in recent years between (i) empirical investigations of real-world dynamic networks, (ii) analytical modeling of the microscopic mechanisms that drive the emergence of such networks, and (iii) harnessing of these mechanisms to either manipulate existing networks,...