Nonparametric mixed effects models for unequally sampled noisy curves.

@article{Rice2001NonparametricME,
  title={Nonparametric mixed effects models for unequally sampled noisy curves.},
  author={John A. Rice and Colin O. Wu},
  journal={Biometrics},
  year={2001},
  volume={57 1},
  pages={253-9}
}
We propose a method of analyzing collections of related curves in which the individual curves are modeled as spline functions with random coefficients. The method is applicable when the individual curves are sampled at variable and irregularly spaced points. This produces a low-rank, low-frequency approximation to the covariance structure, which can be estimated naturally by the EM algorithm. Smooth curves for individual trajectories are constructed as best linear unbiased predictor (BLUP… CONTINUE READING
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