Curve prediction and clustering with mixtures of Gaussian process functional regression models

@article{Shi2008CurvePA,
  title={Curve prediction and clustering with mixtures of Gaussian process functional regression models},
  author={J. Q. Shi and Bingxing Wang},
  journal={Statistics and Computing},
  year={2008},
  volume={18},
  pages={267-283}
}
Shi et al. (2006) proposed a Gaussian process functional regression (GPFR) model to model functional response curves with a set of functional covariates. Two main problems are addressed by this method: modelling nonlinear and nonparametric regression relationship and modelling covariance structure and mean structure simultaneously. The method gives very good results for curve fitting and prediction but side-steps the problem of heterogeneity. In this paper we present a new method for modelling… CONTINUE READING
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