A statistical methodology for detecting influential observations in long-memory models is proposed. The identification of these influential points is carried out by case-deletion ...
This paper compares two different ways of estimating statistical language models. Many statistical NLP tagging and parsing models are estimated by maximizing the (joint) likelihoo...
Many impact studies require climate change information at a finer resolution than that provided by Global Climate Models (GCMs). In the last 10 years, downscaling techniques, both...
Masoud Hessami, Philippe Gachon, Taha B. M. J. Oua...
In this paper, a modeling toolkit is proposed for modeling user behavior from FTP server log files. This toolkit can develop analytical models from the data at hand with minimum a...