Informative Estimation and Selection of Correlation Structure for Longitudinal Data

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Estimation and model selection in generalized additive partial linear models for correlated data with diverging number of covariates (2014, background): “If the candidate basis matrices represent a sufficiently rich class for the true structure, [35] show that the correlation structure can be selected consistently by minimizing the penalized difference between two estimating functions generated from the empirical correlation information and the model”