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[PDF] Top 20 Estimation of linear mixed models with a mixture of distribution for the random-effects

Has 10000 "Estimation of linear mixed models with a mixture of distribution for the random-effects" found on our website. Below are the top 20 most common "Estimation of linear mixed models with a mixture of distribution for the random-effects".

Estimation of linear mixed models with a mixture of distribution for the random-effects

Estimation of linear mixed models with a mixture of distribution for the random-effects

... 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] ... Voir le document complet

29

Sensitivity analysis with dependent random variables : Estimation of the Shapley effects for unknown input distribution and linear Gaussian models

Sensitivity analysis with dependent random variables : Estimation of the Shapley effects for unknown input distribution and linear Gaussian models

... than the Pick-and-Freeze estimator. Then, we extend the estimators of the conditional elements (the double Monte- Carlo estimator and the Pick-and-Freeze estimator) to the ... Voir le document complet

299

Influence of covariance between random effects in design for nonlinear mixed-effect models with an illustration in pediatric pharmacokinetics.

Influence of covariance between random effects in design for nonlinear mixed-effect models with an illustration in pediatric pharmacokinetics.

... by the SIMCYP software using the adults-to- children extrapolation tool, the knowledge of the drug in adults, its physico-chemical proper- ties and in vitro experimental ...is a ... Voir le document complet

37

Robustness of the linear mixed model to misspecied error distribution: Robustness of the linear mixed model

Robustness of the linear mixed model to misspecied error distribution: Robustness of the linear mixed model

... inference for fixed effects which is the unique objective of the longitudinal analysis in most ...and random effects may be biased when the covariance structure is ... Voir le document complet

20

Gaussian linear approximation for the estimation of the Shapley effects

Gaussian linear approximation for the estimation of the Shapley effects

... as a Gaussian vector. For example, the international libraries [McL05, JEF13, JEN11] on real data from the field of nuclear safety provide the average and covariance matrix ... Voir le document complet

37

Active Learning for Accurate Estimation of Linear Models

Active Learning for Accurate Estimation of Linear Models

... explore the sequential decision-making prob- lem where the goal is to estimate a number of lin- ear models uniformly well, given a shared budget of random contexts ... Voir le document complet

37

New adaptive strategies for nonparametric estimation in linear mixed models

New adaptive strategies for nonparametric estimation in linear mixed models

... ensures the stability of the estimation ...Indeed the beam of estimators is really ...compare the three estimators for different values of ...to the ... Voir le document complet

23

Estimation of conditional mixture Weibull distribution with right-censored data using neural network for time-to-event analysis

Estimation of conditional mixture Weibull distribution with right-censored data using neural network for time-to-event analysis

... Among the first estimators widely used in this field is the Kaplan-Meier estimator [8] that may be useful to estimate the probability that an event of interest occurs at a given point ... Voir le document complet

14

Performance comparison of various maximum likelihood nonlinear mixed-effects estimation methods for dose-response models.

Performance comparison of various maximum likelihood nonlinear mixed-effects estimation methods for dose-response models.

... Drawbacks of FOCE_R experienced in this study had been described before ...performance of LAP_NM for skewed distributions was not as evident in this study, where LAP_NM mean standardized RRMSE was ... Voir le document complet

41

Modelisation and estimation of heterogeneous variances in nonlinear mixed models

Modelisation and estimation of heterogeneous variances in nonlinear mixed models

... 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 ...to ... Voir le document complet

187

Parametric estimation of complex mixed models based on meta-model approach

Parametric estimation of complex mixed models based on meta-model approach

... design of experiments for the Gaussian process emulator. The covariance is Gaussian, and the regression functions H are linear ...in the regression functions and in ... Voir le document complet

25

Sub-quadratic markov tree mixture models for probability density estimation

Sub-quadratic markov tree mixture models for probability density estimation

... In the context of density estimation, bagging and boosting of normal dis- tributions has been proposed by Ridgeway ...(2002). The link between mixture of models and ... Voir le document complet

9

Estimating Markov and semi-Markov switching linear mixed models with individual-wise random effects

Estimating Markov and semi-Markov switching linear mixed models with individual-wise random effects

... trees The use of SMS-LMM is illustrated by the analysis of forest tree ...growth. The data set comprised four sub-samples of Corsican pines: 31 6-year-old trees, 29 12-year-old ... Voir le document complet

9

Extension of the SAEM algorithm for nonlinear mixed models with 2 levels of random effects.

Extension of the SAEM algorithm for nonlinear mixed models with 2 levels of random effects.

... Discussion The main original element of this study is the development of the SAEM algorithm for two- levels non-linear mixed effects ...extend the ... Voir le document complet

30

A comparison of bootstrap approaches for estimating uncertainty of parameters in linear mixed-effects models.

A comparison of bootstrap approaches for estimating uncertainty of parameters in linear mixed-effects models.

... result of this study is the good performance of bootstrapping both ran- dom effects and residuals, either in a nonparametric or in a parametric ...as the case bootstrap. ... Voir le document complet

37

Parsimonious reduction of Gaussian mixture models with a variational-Bayes approach

Parsimonious reduction of Gaussian mixture models with a variational-Bayes approach

... extensions of the present work. First, aggregating mixtures of PPCA are in fact a direct extension of our proposal, that should benefit handling of high dimen- sional ...spaces. ... Voir le document complet

25

On the distribution of Hawkins’ random “primes”

On the distribution of Hawkins’ random “primes”

... Résumé. Hawkins a défini une version probabiliste du crible d’Ératosthène et étudié la suite des nombres “premiers” aléatoi- res (p k ) k≥1 ainsi créés. Au moyen de diverses techniques pro- babilistes, de nombreux ... Voir le document complet

12

Distribution of the phenotypic effects of random homologous recombination between two virus species

Distribution of the phenotypic effects of random homologous recombination between two virus species

... recombinants with potential breakpoints in cold spots are maladapted and thus rarely or never ...seven of the eleven recombinants with the highest accumulation in planta at 22 dpi were ... Voir le document complet

11

On the mixture of wind speed distribution in a Nordic region.

On the mixture of wind speed distribution in a Nordic region.

... 36 Table 2. List of mixture probability density functions, domains. Name Probability density function Domain MGG f GG ( ; x  1 , k 1 ,  2 , k 2 )   f G ( ; x  1 , k 1 )   (1  ) f G ( ; x  2 , k 2 ... Voir le document complet

42

The Value of a Statistical Life: A Meta-Analysis with a Mixed Effects Regression Model

The Value of a Statistical Life: A Meta-Analysis with a Mixed Effects Regression Model

... Value of a statistical life, meta-analysis, mixed effects regression model, hedonic wage method, risk Résumé: La valeur statistique d’une vie humaine (VSV) est un sujet de recherche très ... Voir le document complet

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