Nonparametric estimation of conditional distribution functions with longitudinal data and time-varying parametric models (Q683868)
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scientific article; zbMATH DE number 6836680
| Language | Label | Description | Also known as |
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| English | Nonparametric estimation of conditional distribution functions with longitudinal data and time-varying parametric models |
scientific article; zbMATH DE number 6836680 |
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Nonparametric estimation of conditional distribution functions with longitudinal data and time-varying parametric models (English)
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9 February 2018
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The authors propose a structural nonparametric approach for the estimation of the conditional distribution function with longitudinal data and time-varying parametric models. The estimation method consists of two steps. In the first step the raw estimates and in the second step the smoothing estimates are derived. For the obtained estimators some asymptotic properties are derived. At the end of the paper, the introduced estimation method is applied to a real data set of of childhood growth and blood pressure.
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conditional distributions
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local polynomials
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longitudinal data
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time-dependent parameters
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time-varying parametric models
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two-step smoothing
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