This paper presents a methodology for aiding a scientific programmer to evaluate the performance of parallel programs on advanced architectures. It applies well-defined design o...
Nayda G. Santiago, Diane T. Rover, Domingo Rodr&ia...
: This review presents empirical researchers with recent advances in causal inference, and stresses the paradigmatic shifts that must be undertaken in moving from traditional stati...
An agent-based tool for micro-level simulation of transport chains (TAPAS) is described. It is more powerful than traditional approaches as it is able to capture the interactions ...
Paul Davidsson, Johan Holmgren, Jan A. Persson, Li...
Advances in EDI (Electronic Data Interchange) demand appropriate controls in order to realize the potential benefits from it. Formal, informal, and automated controls are basic pa...
Background: Causal networks based on the vector autoregressive (VAR) process are a promising statistical tool for modeling regulatory interactions in a cell. However, learning the...