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analysis of the literature on innovation potential approximation and prediction is given, showing their weaknesses and a …
Persistent link: https://www.econbiz.de/10011985005
analysis of the literature on innovation potential approximation and prediction is given, showing their weaknesses and a …
Persistent link: https://www.econbiz.de/10011958462
Measuring innovation has become a crucial issue of today’s economical and political decision makers. In a remarkably short time, economic globalisation has changed the world's economic order, bringing new challenges and opportunities to SMEs. Companies cannot compete in this new environment...
Persistent link: https://www.econbiz.de/10010556617
resulting forecasts provide only an approximation to the best possible forecast. Although it is in principle possible to obtain …
Persistent link: https://www.econbiz.de/10014023697
Persistent link: https://www.econbiz.de/10011592503
La curva de rendimientos es una herramienta utilizada ampliamente, por quienes toman las decisiones de política monetaria o planifican sus inversiones, de acuerdo con la valoración, negociación o cobertura sobre instrumentos financieros. Debido a su importancia, el interés del artículo es...
Persistent link: https://www.econbiz.de/10005603804
The level of default in financial institutions is a key piece of information in the activity of these organizations and reveals their level of risk. This in turn explains the growing attention given to variables of this kind, during the crisis of these last years. This paper presents a method to...
Persistent link: https://www.econbiz.de/10010551877
This study presents an extension of the Gaussian process regression model for multiple-input multiple-output forecasting. This approach allows modelling the cross-dependencies between a given set of input variables and generating a vectorial prediction. Making use of the existing correlations in...
Persistent link: https://www.econbiz.de/10011650323
This research shows the application and performance of three models for the classification of credit applicants: discriminant analysis, logistic regression and neural networks; techniques used by financial institutions for the calculation of credit scoring. The results show a better performance...
Persistent link: https://www.econbiz.de/10011995010
This study presents an extension of the Gaussian process regression model for multiple-input multiple-output forecasting. This approach allows modelling the cross-dependencies between a given set of input variables and generating a vectorial prediction. Making use of the existing correlations in...
Persistent link: https://www.econbiz.de/10011537542