Statistical modelling of deformation measurements.
Statistical models for deformable templates in image and shape analysis
High dimensional data are more and more frequent in many application fields. It becomes particularly important to be able to extract meaningful features from these data sets. Deformable template model is a popular way to achieve this. This paper is a review on the statistical aspects of this model as well as its generalizations. We describe the different mathematical frameworks to handle different data types as well as the deformations. We recall the theoretical convergence properties of the estimators...
Statistique informatique science ou outil ?
Statistiques de diffusions et temps local
Statistische Modelle und Bayessche Verfahren zur Bestimmung einer unbekannten Klassifikation normalverteilter zufalliger Vektoren.
Stochastic comparison of multivariate random sums
We establish preservation results for the stochastic comparison of multivariate random sums of stationary, not necessarily independent, sequences of nonnegative random variables. We consider convex-type orderings, i.e. convex, coordinatewise convex, upper orthant convex and directionally convex orderings. Our theorems generalize the well-known results for the stochastic ordering of random sums of independent random variables.
Strictly associated models, prime basis factorials: an application
Mixed models will be considered using the Commutative Jordan Algebra of Symmetric matrices approach. Prime basis factorial models will now be considered in the framework provided by Commutative Jordan Algebra of Symmetric matrices. This will enable to obtain fractional replicates when the number of levels is neither a prime or a power of a prime. We present an application to the effect of lidocaine, at an enzymatic level, on the heart muscle of beagle dogs
Strong approximations of bivariate uniform empirical processes
Strong stability of weighted sums of NA random variables.
Strong uniform consistency rates of some characteristics of the conditional distribution estimator in the functional single-index model
The aim of this paper is to establish a nonparametric estimate of some characteristics of the conditional distribution. Kernel type estimators for the conditional cumulative distribution function and for the successive derivatives of the conditional density of a scalar response variable Y given a Hilbertian random variable X are introduced when the observations are linked with a single-index structure. We establish the pointwise almost complete convergence and the uniform almost complete convergence...
Strongly consistent estimation in dependent errors-in-variables
Structural breaks in dependent, heteroscedastic, and extremal panel data
New statistical procedures for a change in means problem within a very general panel data structure are proposed. Unlike classical inference tools used for the changepoint problem in the panel data framework, we allow for mutually dependent panels, unequal variances across the panels, and possibly an extremely short follow up period. Two competitive ratio type test statistics are introduced and their asymptotic properties are derived for a large number of available panels. The proposed tests are...
Structure géométrique des principaux indices de dissimilarité sur signes de présence-absence
Structure maximale pour la somme des carrés d'une contingence aux marges fixées ; une solution algorithmique programmée
Subsymmetry and asymmetry models for multiway square contingency tables with ordered categories
This paper suggests several models that describe the symmetry and asymmetry structure of each subdimension for the multiway square contingency table with ordered categories. A classical three-way categorical example is examined to illustrate the model results. These models analyze the subsymmetric and asymetric structure of the table.
Suitability of linearization of nonlinear problems not only in biology and medicine
Biology and medicine are not the only fields that present problems unsolvable through a linear models approach. One way to overcome this obstacle is to use nonlinear methods, even though these are not as thoroughly explored. Another possibility is to linearize and transform the originally nonlinear task to make it accessible to linear methods. In this aricle I investigate an easy and quick criterion to verify suitability of linearization of nonlinear problems via Taylor series expansion so that...
Suites de tableaux et de sous-tableaux
Sur des approximations d'indices de dissimilarité via les représentations euclidienne et hiérarchique
Sur la construction d'un protocole additif
Dans cet article, on donne l'expression numérique du protocole additif de référence sur le croisement pondéré de deux facteurs, pour d'une part un protocole multinumérique, d'autre part un tableau de contingence ternaire. On donne un algorithme de calcul et on montre que, pour un tableau de contingence ternaire, la mesure additive de référence s'obtient à partir de l'analyse des correspondances d'un tableau marginal binaire en mettant en éléments supplémentaires les deux autres tableaux marginaux...
Sur la loi de Polya régissant les faits corrélatifs. I