Semiparametric shape-invariant models for periodic data |
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Authors: | Holger Hürtgen |
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Institution: | Department of Mathematical Sciences , University of Wisconsin–Milwaukee , Milwaukee , WI , USA |
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Abstract: | This article presents a novel shape-invariant modeling approach to quasi-periodic data. We propose a dynamic semiparametric method that estimates the common cycle shape in a nonparametric way and the individual phase and amplitude variability in a parametric way. An efficient algorithm to compute the estimators is proposed. The behavior of the estimators is studied by simulation and by a real-data example. |
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Keywords: | circadian rhythms nonparametric regression spline smoothing |
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