Smoothed kernel conditional density estimation
2017
Wen, Kuangyu | Wu, Ximing
Given multiple Y observations for each observed X, we propose a conditional kernel density estimator that exploits smoothing of f(y|x) across x. We obtain large sample properties of the proposed estimator and present a practical cross validation bandwidth selector. An application to adult BMI densities conditional on age is provided.
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