consideration is non-stationary (i.e. has a unit root) or stationary. In the context of a Stochastic Volatility Model (SVM), the … propose a unit root test for the volatility process based on the Simulation-Extrapolation (SIMEX) approach. We express the SVM …

vectors. The proposed SVM training is implemented and tested on two problems: (i) gender classification of facial images using … standard SVM training, the proposed approach leads to much faster SVM training, produces a more compact classifier while …

using three different predictor schemes, Artificial Neural Networks (ANNs), Support Vector Machine (SVM) and a hybrid scheme …-forward neural network with back-propagation has been adopted for detailed comparison with other forecasting models. SVM is a newly … limitations of individual forecasting models, a hybrid technique that combines Fuzzy-C-Means (FCM) clustering and SVM regression …

making the observation that the level of consistency our customers tend to decrease after the expiration of maintenance … consistency and customer loyalty is influenced by the quality of service. …

the related issue of consistency of the QML estimators of the conditional variance parameters under various parameter con …

the related issue of consistency ofthe QML estimators of the conditional variance parameters under various parameter con …