Varying Coefficient Models for Sparse Noise-contaminated Longitudinal Data
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In this paper we propose a varying coefficient model for highly sparse longitudinal data that allows for error-prone time-dependent variables and time-invariant covariates. We develop a new estimation procedure, based on covariance representation techniques, t... ...
