An enormous number of statistical methods have been developed in quantitive finance during the last decades. Nonparametric methods, bootstrapping time series, wavelets, estimation of diffusion coefficients are now almost standard in statistical applications. To implement these new methods the...

In future power systems, a smart grid is expected to manage supply and demand of electricity efficiently. This article explores (1) the trends and challenges of today's power system that trigger the development of smart grids, (2) the elements that may eventually constitute the smart grid and...

We propose a client server architecture for statistical computing. The main feature of our approach is the possibility to connect various client programs via a TCP/IP connection to a powerful statistical engine. This offers the opportunity to include the statistical engine into a number of...