Paradigme logique des écritures relationnelles de quelques critères fondamentaux d'association
Parameterization and R-peak error estimations of ECG signals using independent component analysis.
Parametric and nonparametric empirical regression models: case study of copper bromide laser generation.
Paramétrisation et analyse des correspondances
PC-PARIS - An Interactive Software System for Statistical Pattern Recognition
Perturbation des poids des unités statistiques et approximation en analyse en composantes principales
Pirámides indexadas y disimilaridades piramidales.
En este trabajo se pretende una formalización de las bases matemáticas sobre las que se amparan los modelos de clasificación y representación piramidal, estableciéndose para ello una relación entre los conceptos de pirámide indexada y disimilaridad piramidal. Asimismo se precisa el concepto de información redundante, contenida en una estructura piramidal, y se dan criterios objetivos para poder prescindir de ella sin que ello suponga una modificación de la estructura piramidal.
Plans d'expérience adaptés à un champ d'hypothèses a priori. Construction. Précision globale
Pondération des distances en analyse factorielle
Pondération des variables pour la classification de données binaires
Pricing equity-indexed annuities under stochastic interest rates using copulas.
Principal Components Analysis in the Complex Case.
Probabilistic mixture-based image modelling
During the last decade we have introduced probabilistic mixture models into image modelling area, which present highly atypical and extremely demanding applications for these models. This difficulty arises from the necessity to model tens thousands correlated data simultaneously and to reliably learn such unusually complex mixture models. Presented paper surveys these novel generative colour image models based on multivariate discrete, Gaussian or Bernoulli mixtures, respectively and demonstrates...
Probability distribution of the multivariate nonlinear least squares estimates
Probability distribution of transformed random variables with application to nonlinear features extraction
A method for estimation of probability distribution of transformed random variables is presented. The proposed approach admits an approximation of the transformation of the random variables. The approximate probability density function (pdf) is corrected to obtain a resulting pdf which incorporates a prior knowledge of approximation errors. The corrected pdf is not contaminated by any uncontrollable approximation. The method is applied to pattern recognition. It is shown that class conditional pdf...
Problèmes d'indétermination en analyse en facteurs et analyse en composantes principales optimale
Problèmes engendrés par les données manquantes dans la pratique statistique
Programme de classification hiérarchique par l'algorithme de la recherche en chaîne des voisins réciproques
Programme pour la discrimination barycentrique entre deux populations et l'étude par permutation aléatoire de la discriminabilité entre celles-ci
Projection pursuit quadratic regression - the normal case
The model of quadratic regression is studied by means of the projection pursuit method. This method leads to a decomposition of the matrix of quadratic regression, which can be used for an estimation of this matrix from the data observed.