Analyse bayésienne de courbes de croissance de poulets par un modèle hiérarchique défini à partir d'une équation différentielle stochastique à processus d'erreur autocorrélée

Abstract : Animal growth curves may be well described by di erential equations which can be used in a mixte model approach, see Strathe (2009), et al. (2010). As growth is a stochastic process, Donnet et al. (2010) suggested a bayesian hierarchial model where the regression term arised from a stochastic di erentiel equation. These corresponding stochastic growth curves were de ned with an uncorrelated error process. Instead, we suggested using an Orstein-Uhlenbeck process to model an autocorrelated process which seemed biologically more sensible. The two models were computed and compared on broiler chicken growth data. Eventually, we studied if those models were useful to compare experimental designs and also to predict nal average body size.
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  • HAL Id : hal-01190283, version 1
  • PRODINRA : 189446

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Bénédicte Fontez Nguyen The, Dolores Batonon, Fabien Campillo, Philippe Lescoat. Analyse bayésienne de courbes de croissance de poulets par un modèle hiérarchique défini à partir d'une équation différentielle stochastique à processus d'erreur autocorrélée. 44. Journées de la Société Française de Statistique (SFdS 2012), May 2012, Bruxelles, Belgique. 6 p. ⟨hal-01190283⟩

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