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Stochastic differential equation mixed-effects models (SDEMEMs) are flexible hierarchical models that are able to account for random variability inherent in the underlying time-dynamics, as well as the variability between experimental units and, opti
Externí odkaz:
http://arxiv.org/abs/1907.09851
Publikováno v:
In Computational Statistics and Data Analysis May 2021 157
