This paper introduces a real rational module framework in the context of Prediction Error Identification using Box-Jenkins model structures. This module framework, which can easily...
Tzvetan Ivanov, Pierre-Antoine Absil, Brian D. O. ...
It is becoming increasingly important for applications to protect sensitive data. With current techniques, the programmer bears the burden of ensuring that the application’s beh...
We investigate the use of Antithetic Variables, Control Variates and Importance Sampling to reduce the statistical errors of option sensitivities calculated with the Likelihood Ra...
Data warehouses store large volumes of data according to a multidimensional model with dimensions representing different axes of analysis. OLAP systems (OnLine Analytical Processi...
Most RAID controllers implemented in industry are complicated and di cult to reason about. This complexity has led to software and hardware systems that are di cult to debug and h...