... approximate **mixed** meta-**models** and the maximum likeli- hood estimates obtained with the exact computer ...non-linear **mixed** model and Section 3 recalls the principles and the main results of the ...

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... linear **mixed** **models** accounting for left-censoring of the response and we showed with an example that they gave the same ...fit **mixed** **models** for left-censored repeated measures, one can choose ...

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... **Mixed** **models** with random effects are often used, for example in ...individuals. **Mixed** **models** have been widely studied, often with parametric strategies and Gaussian random effects and noise ...

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... Sarah Ola Moreira 1 , Karin Tesch Kuhlcamp 2 , Fabíola Lacerda de Souza Barros 2 , Moises Zucoloto 3 , Alyce Carla Rodrigues Moitinho 4 A bstract – Few cultivars of papaya from the Formosa group are available to ...

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... An interesting direction for further research would be to develop the statisti- cal methodology for semi-Markov switching generalized linear **mixed** **models**. Since the hidden semi-Markov chain likelihood ...

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... linear **mixed** model ( Laird and Ware , 1982 ) then provides then a better framework to take correlation between these observations into ac- ...effects, **mixed** **models** allow to take into account the ...

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... linear **mixed** **models** (LMMs) to problems in genomics include phenotype prediction, correction for confounding in genome-wide association studies, estimation of narrow sense heritability, and testing sets of ...

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... time, **mixed** **models** described by stochastic differential equations (SDEs) have been introduced in the literature (see [32] or [43] for ...These **models** are a natural extension of the **models** ...

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... linear **mixed** **models** are useful when analyzing longitudinal data of two associated ...linear **mixed** model including random effects or first-order auto-regressive process and independent measurement ...

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... Nonlinear **mixed** effects **models** (NLMM) are more and more frequently used for anal- ysis of longitudinal data and repeated measurements in pharmacokinetics, growth and other ...linear **mixed** ...

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... Markov **models** such as for instance hidden Markov tree **models**; see Durand et ...linear **mixed** **models** to take into account non-normally distributed response variables (for instance, number of ...

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... Besides, regularisation methods have already been developped for GLMM, in which the random effects allow to model complex dependence structure. Eliot et al. [ 3 ] proposed to extend the classical ridge regression to ...

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... corresponding curves on Figure 1. Such a data set has been previously analyzed by Mignon- Grasteau et al. (1999), Jaffr´ ezic et al. (2006) and Meza et al. (2007), who conluded that, among the standard growth ...

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... sequen
ing pro
edures for mixed model assembly lines in just-in-time produ
tion. system[r] ...

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... L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignemen[r] ...

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... Comparison of the estimated Gaussian hidden semi-Markov chain (GHSMC) parameters (i.e. where the influence of covariates and the inter-individual heterogeneity are not taken into account) with the estimated semi-Markov ...

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... [Figure 3 about here.] [Figure 4 about here.] 6 Discussion The main original element of this study is the development of the SAEM algorithm for two- levels non-linear **mixed** effects **models**. We extend the ...

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... Unit´e de recherche INRIA Lorraine, Technopˆole de Nancy-Brabois, Campus scientifique, ` NANCY 615 rue du Jardin Botanique, BP 101, 54600 VILLERS LES Unit´e de recherche INRIA Rennes, Ir[r] ...

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... Unité de recherche INRIA Rhône-Alpes 655, avenue de l’Europe - 38330 Montbonnot-St-Martin France Unité de recherche INRIA Lorraine : LORIA, Technopôle de Nancy-Brabois - Campus scientifi[r] ...

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... linear **mixed**-effects **models** because of the improvement of estimation for variance ...ear **models** [21], and was extended for the two levels of variability found in **mixed** **models** by Wang et ...

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