Nonparametric mixed effects models for unequally sampled noisy curves.

  title={Nonparametric mixed effects models for unequally sampled noisy curves.},
  author={John A. Rice and Colin O. Wu},
  volume={57 1},
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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Estimating the mean and co

  • J. Rice, B. Silverman
  • 1991
Highly Influential
8 Excerpts

Estimating the mean and covariance structure nonparametrically when the data are curves

  • B. Silverman
  • Journal of the Royal Statistical Society , Series…
  • 1991
Highly Influential
4 Excerpts

Functional linear models for longitudinal data

  • J.-T. Zhang
  • 1998
2 Excerpts

Nonparametric regressi

  • J. Staniswalis, J. Lee
  • 1998
1 Excerpt

Polynomial splines and their tensor products in extended linear modeling

  • C. Stone, M. Hansen, Y. K. Truong
  • 1997

Simultaneous nnparametric regressions of unbalanced longitudinal data

  • P. Besse, F. Ferraty
  • Computational Statistics and Data Analysis
  • 1997

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