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Statistical inference in a high-dimensional spiked population model
This thesis deals with the statistical inference of large dimensional data. The random matrix theory allows to take into account this framework, since most asymptotic... -
Convolution particle filters for parameter estimation in general state-space ...
The state-space modeling of partially observed dynamic systems generally requires estimates of unknown parameters. From a practical point of view, it is relevant in... -
Suivi paramétrique pour la surveillance d'installations complexes - rapport d...
L'estimation de paramètres en ligne donne une image de l'état du procédé, mais la connaissance des paramètres physiques avec précision est bien souvent inexistante,... -
Détection de changement de mode de fonctionnement
National audience -
Estimation via testing
This thesis deals with the estimation of functions from tests in three statistical settings. We begin by studying the problem of estimating the intensities of Poisson...
