Smoothed kernel conditional density estimation

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.