One of the major overheads that prohibits the wide spread deployment of parallel discrete event simulation PDES is the need to synchronize the distributed processes in the simulat...
Narayanan V. Thondugulam, Dhananjai Madhava Rao, R...
This paper reviews a class of methods to perform causal inference in the framework of a structural vector autoregressive model. We consider three different settings. In the first ...
Identifying and controlling bias is a key problem in empirical sciences. Causal diagram theory provides graphical criteria for deciding whether and how causal effects can be iden...
Change impact analysis aims at identifying software artifacts being affected by a change. In the past, this problem has been addressed by approaches relying on static, dynamic, a...
Michele Ceccarelli, Luigi Cerulo, Gerardo Canfora,...