Three multivariate methods for predicting death within 1 year for patients discharged after acute myocardial infarction were evaluated: Cox model, discriminant function analysis and recursive partitioning. Discriminant function analysis was utilized to predict a new myocardial infarction (any new or nonfatal infarction). A Cox classification model developed in a population of 260 patients (grou...

This paper provides a unifying view of three discriminant linear feature extraction methods: Linear Discriminant Analysis, Heteroscedastic Discriminant Analysis and Maximization of Mutual Information. We propose a model-independent reformulation of the criteria related to these three methods that stresses their similarities and elucidates their differences. Based on assumptions for the probabil...

In practice, the data distribution at test time often differs, to a smaller or larger extent, from that of original training data. Consequentially, so-called source classifier, trained on available labelled data, deteriorates test, target, Domain adaptive classifiers aim combat this problem, but typically assume some particular form domain shift. Most are not robust violations shift assumptions...

Suppose that X is a d-dimensional elliptically distributed random vector with dispersion matrix Σ . Many multivariate statistical methods like principal component analysis, canonical correlation analysis, linear discriminant analysis, and multivariate regression require the covariance or dispersion matrix of X only up to a scaling constant. Hence, the present work concentrates on the shape matr...