In empirical work on multivariate financial time series, it is common to postulate a Multivariate GARCH model. We show that the popular Gaussian quasi-maximum likelihood estimator...
-A large number of studies on Genetic Algorithms (GAs) emphasize finding a globally optimal solution. Some other investigations have also been made for detecting multiple solutions...
We boost the efficiency and robustness of distributionbased matching by random subsampling which results in the minimum number of samples required to achieve a specified probabili...
Network Coding (NC) has witnessed a tremendous upsurge in interest and activities in recent years, both in academia and industry. Indeed, since the pioneering publication of Ahlswe...
Marco Di Renzo, Lana Iwaza, Michel Kieffer, Pierre...
Abstract. In this paper a new, general and exact schema theory for genetic programming is presented. The theory includes a microscopic schema theorem applicable to crossover operat...