[PDF] Top 20 Modelisation and estimation of heterogeneous variances in nonlinear mixed models
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Modelisation and estimation of heterogeneous variances in nonlinear mixed models
... Introduction Nonlinear mixed effects models (NLMM) are more and more frequently used for anal- ysis of longitudinal data and repeated measurements in pharmacokinetics, ... Voir le document complet
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saemix, an R version of the SAEM algorithm for parameter estimation in nonlinear mixed effect models
... Detailed and omplete presentations of the nonlinear mixed ee ts model an be found in several referen e textbooks, for instan e ...linear mixed ee ts model for ontinuous ... Voir le document complet
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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 ... Voir le document complet
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Dispersion in Porous Media with Heterogeneous Nonlinear Reactions
... and U l ∗ ω l l . It must be pointed out that, in this nonlinear case, two errors are ...value of the Pe number because of nonlinearities in the effective dispersion ... Voir le document complet
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Identification and Estimation of Hedonic Models
... Following in their Footsteps: Comparing Interest Parity Conditions in Central European Economies to the Euro Countries, August 2003 1021 Christoph Borgmann and Matthias Heidler, Demographics ... Voir le document complet
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ARMA Representation of Integrated and Realized Variances
... representation of integrated and realized variances when the spot variance depends linearly on two autoregressive factors, ...SR-SARV(2) models. This class of processes includes affine, ... Voir le document complet
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ARMA Representation of Integrated and Realized Variances
... •AXA Canada •Banque du Canada •Banque Laurentienne du Canada •Banque Nationale du Canada •Banque Royale du Canada •Bell Canada •Bombardier •Bourse de Montréal •Développement des ressourc[r] ... Voir le document complet
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Nonparametric Detection of Nonlinearly Mixed Pixels and Endmember Estimation in Hyperspectral Images
... We also propose an MVES-based iterative endmember extraction algorithm to be employed in combination with the detection algorithm to jointly detect nonlinearly mixed pixels and extract t[r] ... Voir le document complet
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Nonparametric Detection of Nonlinearly Mixed Pixels and Endmember Estimation in Hyperspectral Images
... We also propose an MVES-based iterative endmember extraction algorithm to be employed in combination with the detection algorithm to jointly detect nonlinearly mixed pixels and extract t[r] ... Voir le document complet
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Pairwise likelihood estimation for multivariate mixed Poisson models generated by Gamma intensities
... ence of pairs between non-neighboring observations (which should be less informative on the correlation structure in the framework of spatial ...complexity in particular applications. Nott ... Voir le document complet
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Influence of covariance between random effects in design for nonlinear mixed-effect models with an illustration in pediatric pharmacokinetics.
... INTRODUCTION Nonlinear mixed-effect models (NLMEM) are used increasingly during drug development for the analysis of dose-concentration-response ...individual in a set of ... Voir le document complet
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Evaluation of bootstrap methods for estimating uncertainty of parameters in nonlinear mixed-effects models: a simulation study in population pharmacokinetics
... SE of Q and had poorer coverage rates for σ p ...SE of variance parameters, leading to overly wide CI with the coverage rate over ...effects in the frequent and the sparse sampling ... Voir le document complet
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Extension of the SAEM algorithm for nonlinear mixed models with 2 levels of random effects.
... Kuhn and Lavielle (16) propose to combine the SAEM algorithm with a Monte-Carlo Markov Chain (MCMC) procedure adapted to the NLMEMs, and prove that the resulting estimates are convergent and ...none ... Voir le document complet
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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
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Estimation de la dimension intrinsèque des images hyperspectrales à l'aide d'un modèle à variances isolées
... 1 Introduction Les pixel-vecteurs des images hyperspectrales sont consti- tués d’un mélange de spectres de composés dits purs pondérés par des proportions appelées abondances. Le démélange des images hyperspectrales ... Voir le document complet
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Nonlinear unmixing of hyperspectral images: Models and algorithms
... operating in reproducing kernel Hilbert spaces (RKHS) have received considerable interest in the machine-learning community, and have proved their efficiency in solving nonlinear ... Voir le document complet
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Heterogeneous, distributed mixed reality Applications. A concept
... family of programs in a software product line and can be analyzed in terms of features that vary among particular ...consider in this analysis are output rendering, interaction ... Voir le document complet
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Monte Carlo Methods for Channel, Phase Noise and Frequency Offset Estimation with Unknown Noise Variances in OFDM Systems
... required in the parameter space. A classical approach consists in exploring the parameter space at the initialization step by setting up a prior distribution for the unknown ...value of the parameter ... Voir le document complet
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Simplicial variances, potentials and Mahalanobis distances
... copies of the random vector associated with µ; for the value k we take k + 1 ...idea of this paper is that an integral measure of dispersion generates a notion of potential at a general point ... Voir le document complet
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Fully nonlinear long-waves models in presence of vorticity
... computation of these new terms requires the resolution of a 1 + 1 dimensional transport equation for the vorticity (in horizontal dimension d = 1, the stretching term disappears from ...weakly ... Voir le document complet
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