Identification of multitype branching processes

F. Maaouia,A. Touati

Published 2000 in Annals of Statistics

ABSTRACT

We solve the problem of constructing an asymptotic global confidence region for the means and the covariance matrices of the reproduction distributions involved in a supercritical multitype branching process. Our approach is based on a central limit theorem associated with a quadratic law of large numbers performed by the maximum likelihood or the multidimensional Lotka-Nagaev estimator of the reproduction law means. The extension of this approach to the least squares estimator of the mean matrix is also briefly discussed. On resout le probleme de construction d'une region de confiance asymptotique et globale pour les moyennes et les matrices de covariance des lois de reproduction d'un processus de branchement multitype et supercritique. Notre approche est basee sur un theoreme de limite centrale associe a une loi forte quadratique verifiee par l'estimateur du maximum de vraisemblance ou l'estimateur multidimensionnel de Lotka-Nagaev des moyennes des lois de reproduction. L'extension de cette approche a l'estimateur des moindres carres de la matrice des moyennes est aussi brievement commentee.

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