A literature review on the application of evolutionary computing to credit scoring

It has been estimated using data for a large group of ECA countries from the early 1990s and multivariate regression analysis that the most important components of

Government policy varies between nations and this guidance sets out the need for balanced decision-making about ways of working, and the ongoing safety considerations

Jointly estimate this entry game with several outcome equations (fees/rates, credit limits) for bank accounts, credit cards and lines of credit. Use simulation methods to

Finally, we employ regression modelling techniques for accurately estimating the impact of demand volume and mix uncertainties on the economic performance of the

In the classical, multivariate case, where X is finite-dimensional, taking values in R d , the logistic regression model is a popular approach to such problem (see, e.g., Hilbe 2009

• La utilización de las redes bayesianas con un óptimo equi- librado de las instancias, unido a la correcta selección del conjunto de variables explicativas para la resolución

SVMs applied to a regression problem perform a linear regression in the feature space using the -insensitive loss as cost function and, at the same time, regularizing the weights

The focus of this paper was to investigate the contribution of different physicochemical parameters to bulking episodes, and to develop logistic regression models to predict