modification, these techniques can perform well in different economic fields, like empirical demand analysis or prediction of stock …

forecasting algorithms. Often there are questions how to choose the algorithm for prediction and how to prepare for work with a … particular prediction task. This paper describes an experimental model which allows to assess and accelerate the re-analysis of … different algorithms for prediction tasks. The model is based on the DMX, SQL templates, and assessment methods for analysis of …

ensemble prediction and data assimilation applications. This dissertation describes two new methods for reducing the effect of … posteriori. The second method is inspired by the dynamical systems theory of shadowing. Making a prediction for a chaotic …

This PhD thesis has two main emphases. First, the author constructs a default prediction model for Ukrainian … available, at least for Ukrainian Open-Joint-Stock companies. The author used for this modelling the standard default-prediction … default prediction modelling for developed market economies. The modelling methodology being quite established and advanced …

This dissertation investigates three issues on business failure causality and prediction. First, a nonlinear model for … was found previously. Third, the effect of incorporating macroeconomic variables into business failure prediction models … is investigated with a focus on the U.S. airline industry from 1995 to 2005. The attention is placed on prediction …