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PAC-Bayesian bounds for randomized empirical risk minimizers
The aim of this paper is to generalize the PAC-Bayesian theorems proved by Catoni [6, 8] in the classification setting to more general problems of...
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Cluster analysis of census data using the symbolic data approach
The aim of this paper is to investigate the economic specialization of the Italian local labor systems (sets of contiguous municipalities with a high...
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Enhancing parallel coordinate plot
Effective visual representation of data sets with many continuous variables is not easy even with modern statistical graphic tools. Among them, the...
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Determining the number of clusters in cluster analysis
Cluster analysis has been a popular method for statistical classification. The classical cluster analysis, however, has a theoretical shortcoming in...
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Fitting semiparametric clustering models to dissimilarity data
The cluster analysis problem of partitioning a set of objects from dissimilarity data is here handled with the statistical model-based approach of...
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Plastic card fraud detection using peer group analysis
Peer group analysis is an unsupervised method for monitoring behaviour over time. In the context of plastic card fraud detection, this technique can...
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SVM-Maj: a majorization approach to linear support vector machines with different hinge errors
Support vector machines (SVM) are becoming increasingly popular for the prediction of a binary dependent variable. SVMs perform very well with...
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Discrimination with jointly equicorrelated multi-level multivariate data
In this article we study a linear as well as a quadratic discriminant function for multi-level multivariate repeated measurement data under the...
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Variable selection in discriminant analysis based on the location model for mixed variables
Non-parametric smoothing of the location model is a potential basis for discriminating between groups of objects using mixtures of continuous and...
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Classification in music research
Since a few years, classification in music research is a very broad and quickly growing field. Most important for adequate classification is the...
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Influence diagnostics in multiple discriminant analysis
Various influence diagnostics in Multiple Discriminant Analysis can be found in the literature. Almost all of them are based on the overall...
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Decision theory classification of high-dimensional vectors based on small samples
In this paper, an entirely new procedure for the classification of high-dimensional vectors on the basis of a few training samples is described. The...
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Bayesian Analysis in the L 1-Norm of the Mixing Proportion Using Discriminant Analysis
We consider the mixing proportion π in a mixture of two independent distributions, and establish the expression of its posterior density, in closed...
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On Properties of Support Vector Machines for Pattern Recognition in Finite Samples
The support vector machine proposed by Vapnik belongs to a class of modern statistical learning methods based on convex risk minimization. Other...
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Empirical Comparison of the Classification Performance of Robust Linear and Quadratic Discriminant Analysis
The aim of this paper is to look at the behavior of the total probability of misclassification of robust linear and quadratic discriminant analysis....
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Constructing Prediction Trees from Data: The RECPAM Approach
Growing trees from the data is presented as a general way of solving the prediction problem for an unknown parameter of a distribution. A tree-...
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Convexidad y simetria de laJ-divergencia generalizada
In this work the symmetry of the generalized J -divergence is characterized by its parameter and function.
The convexity and symmetrization are studied...
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Medidas de incertidumbre asociadas aJ-divergencias
In this paper we show a family of uncertainty measures, related with the J -divergences. They are obtained through a distance between a distribution...
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A note on a quadratic measure of deviation of density estimates
The results of Rosenblatt on quadratic measure of deviations of density estimates have been generalized to a wider class of weight functions. It is...