Food authenticity studies are concerned with determining if food samples have been correctly labelled or not. Discriminant analysis methods are an integral part of the methodology for food authentication. Motivated by food ...
Fisher's linear discriminant analysis is one of the most commonly used and studied classification methods in chemometrics. The method finds a projection of multivariate data into a lower dimensional space so that the groups ...
A new family of mixture models for the model-based clustering of longitudinal data is introduced.
The covariance structures of eight members of this new family of models are given and the associated maximum likelihood ...
An analysis of wage discrimination is carried out on the basis of health on UK data with a number of important modifications. First selection is controlled for into both health and labour market status. Second the direct ...
Network modeling can be approached using either discriminative or probabilistic
models. In the task of link prediction a probabilistic model will give a probability
for the existence of a link; while in some scenarios ...
The potential of the membrane aerated biofilm reactor (MABR) for high-rate bio-oxidation was investigated. A reaction-diffusion model was combined with a preliminary hollow-fiber MABR process model to investigate reaction ...
If employers believe females are more likely to separate from a job than males,
efficient cost sharing of on-the-job training implies that females will have higher returns to tenure. Becker and Lindsay (1994) argue that ...
In recent years, work has been carried out on clustering gene expression microarray data. Some approaches are developed from an algorithmic viewpoint whereas others are developed via the application of mixture models. In ...
Most analyses of wage discrimination have followed the traditional Blinder-Oaxaca decomposition of wage differences into endowment and discrimination components. This approach has neglected the possibility of wage ...