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Statistical Inference of Semiparametric Varying Coefficients Using Mixed Effects Model
混合効果モデルを用いたセミパラメトリックな変化係数の推測について
2013
Ouyou toukeigaku
混合効果モデルを用いたセミパラメトリックな変化係数の推測について
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Varying coefficients can be used for visualizations or interpretations of the covariate effects which might be varying on time axis. Satoh and Yanagihara (2010) proposed linear varying coefficients and constructed a simultaneous confidence interval as a function of time. Linear curves are useful to summarize and interpret the scatter plot, but these might be not enough for approximating non-linear relationship especially when there are many observed time points. In this paper we consider
doi:10.5023/jappstat.42.1
fatcat:wk5le7sxtzbazcku5vm3jv2ara