We show how to use linear belief functions to represent market information and financial knowledge, including complete ignorance, statistical observations, subjective speculations...
The most often used approaches to obtaining and using residuals in applied work with time series models, are unified and documented with both partially-known and new features. Spe...
In this paper we develop a methodology for treating the problem of scheduling partially-ordered tasks on parallel machines. Our framework is based on the timed automaton model, or...
Model-based program debugging exploits discrepancies between the program behavior anticipated by a programmer and the program’s actual behavior when executed on a set of inputs....
The rate of occurrence of words is not uniform but varies from document to document. Despite this observation, parameters for conventional n-gram language models are usually deriv...