most citedLikelihood ratio test for variance components in nonlinear mixed effects models

1 citations

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4 papers

cs.DC2019

Convergence Detection of Asynchronous Iterations based on Modified Recursive Doubling

Qinmeng Zou, Frederic Magoules

This paper addresses the distributed convergence detection problem in asynchronous iterations. A modified recursive doubling algorithm is investigated in order to adapt to the non-…

math.AP2019

Mean field approximation of a heterogeneous population of plants in competition

Antonin Della Noce, Amélie Mathieu, Paul-Henry Cournède

The processes of interplant competition within a field are still poorly understood. However, they explain a large part of the heterogeneity in a field and may have longer-term cons…

stat.ME2019★ 1 cited

Computer code validation via mixture model estimation

Kaniav Kamary, Merlin Keller, Pierre Barbillon +2

When computer codes are used for modeling complex physical systems, their unknown parameters are tuned by calibration techniques. A discrepancy function may be added to the compute…

stat.ME2017★ 1 cited

Likelihood ratio test for variance components in nonlinear mixed effects models

Charlotte Baey, Paul-Henry Cournède, Estelle Kuhn

Mixed effects models are widely used to describe heterogeneity in a population. A crucial issue when adjusting such a model to data consists in identifying fixed and random effects…