Abstract We propose the use of online indicators, scraped from firms’ websites, to predict default risk for a sample Spanish firms via nonlinear discriminant analysis and logistic regression model.

Recombinant DNA technology is important in the mass production of proteins for academic, medical, and industrial use, and the prediction of the solubility of proteins is a significant part of it. However, the protein solubility when overexpressed in a host organism is difficult to predict. Thus, a model capable of accurately estimating the likelihood of proteins to form insoluble inclusion bodi...

fourteen different morphological traits in 169 and 131 cattle of oulmes-zaer and tidili, respectively were recorded and analyzed using a multivariate approach. the characters measured included heart girth, wither height, rump height, rump length, rump width, chest depth, body length, neck length, cannon circumference, ear length, ear width, head length, horn length and tail length. breed signif...

We study discriminative joint density models, that is, generative models for the joint density p(c,x) learned by maximizing a discriminative cost function, the conditional likelihood. We use the framework to derive generative models for generalized linear models, including logistic regression, linear discriminant analysis, and discriminative mixture of unigrams. The benefits of deriving the dis...

This study examines auditor switching using discriminant analysis and logistic regression. These two statistical techniques have been employed to show both whether auditor switching can be forecasted and which method better fits the data for companies listed on the Athens Stock Exchange. Using logistic analysis, auditor switching can be forecasted with prediction accuracy which exceeds 92.0 per...

The aim of this study is to show how a Kohonen map can be used to increase the forecasting horizon of a financial failure model. Indeed, most prediction models fail to forecast accurately the occurrence of failure beyond one year, and their accuracy tends to fall as the prediction horizon recedes. So we propose a new way of using a Kohonen map to improve model reliability. Our results demonstra...

In discriminant analysis, probabilistic generative and discriminative approaches represent two paradigms of statistical modelling and learning. In order to exploit the best of both worlds, hybrid modelling and learning techniques have attracted much research interest recently, one example being the so-called hybrid generative/discriminative algorithm proposed in Raina et al. (2003) and its mult...