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Bayesian approach analyzes nonlinear random effects models, suggesting new insights for statistical modeling.
Nonlinear random effects models are considered from the Bayesian point of view. The method of analysis follows closely that of Lindley and Smith (1972, Journal of the Royal Statistical Society, Series B 34, 1-42). The numerical method is related to the EM algorithm.
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Amy Racine-Poon (1985) studied this question.
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