Bayesian analysis for heavy-tailed nonlinear mixed effects models
نویسندگان
چکیده
Abstract: Nonlinear models have many applications in different areas such as pharmacokinetics and pharmacodynamics, and random effects are often included to take into account the correlation between observations taken within the same subject. In this context, we propose a bayesian analysis for heavy-tailed nonlinear mixed effects models, which may produce more robust estimates for the parameters in the model.
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تاریخ انتشار 2013