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Modèle de mélange et modèles linéaires généralisés, application aux données de co-infection (arbovirus & paludisme)

Abstract : We are interested, in this thesis, to the study of mixture models and generalized linear models, with an application to co-infection data between arboviruses and malaria parasites. After a first part dedicated to the study of co-infection using a multinomial logistic model, we propose in a second part to study the mixtures of generalized linear models. The proposed method to estimate the parameters of the mixture is a combination of a moment method and a spectral method. Finally, we propose a final section for studing extreme value mixtures under random censoring. The estimation method proposed in this section is done in two steps based on the maximization of a likelihood.
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https://tel.archives-ouvertes.fr/tel-01877796
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Submitted on : Thursday, September 20, 2018 - 12:59:06 PM
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  • HAL Id : tel-01877796, version 1

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Mor Absa Loum. Modèle de mélange et modèles linéaires généralisés, application aux données de co-infection (arbovirus & paludisme). Probabilités [math.PR]. Université Paris-Saclay; Université de Saint-Louis (Sénégal), 2018. Français. ⟨NNT : 2018SACLS299⟩. ⟨tel-01877796⟩

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