Statistics/Probability Theory
Constrained covariance matrix estimation in road accident modelling with Schur complements
[Estimation sous contraintes d'une matrice de covariances dans la modélisation d'accidents de la route par complements de Schur]
Comptes Rendus. Mathématique, Tome 337 (2003) no. 3, pp. 219-222.

On considère (Y11,Y21),…,(Y1s,Y2s) une collection de s couples indépendants de vecteurs aléatoires de dimension 2r avec (r>1). On suppose que chaque couple est distribué selon une loi multinomiale dépendant à la fois d'un vecteur paramètre inconnu et d'un ensemble de données supplémentaire. On étudie l'inversion formelle de l'information de Fisher issue de ces s couples par le biais de la technique des compléments de Schur.

We consider a collection (Y11,Y21),…,(Y1s,Y2s) of s independent couples of 2r-dimensional random vector with r>1. We assume that each couple has a multinomial distribution linked to an unknown vector parameter and an extra set data. We deal with a formal inversion of a Fisher's information matrix connected to those couples using Schur complements approach.

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DOI : 10.1016/S1631-073X(03)00309-1
N'Guessan, Assi 1

1 École polytechnique universitaire de Lille et laboratoire de mathématiques appliquées: CNRS, FRE 2222, Université de Lille 1, 59655 Villeneuve d'Ascq cedex, France
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     title = {Constrained covariance matrix estimation in road accident modelling with {Schur} complements},
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N'Guessan, Assi. Constrained covariance matrix estimation in road accident modelling with Schur complements. Comptes Rendus. Mathématique, Tome 337 (2003) no. 3, pp. 219-222. doi : 10.1016/S1631-073X(03)00309-1. http://archive.numdam.org/articles/10.1016/S1631-073X(03)00309-1/

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