Score contribution per author:
α: calibrated so average coauthorship-adjusted count equals average raw count
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.