title: Data structures in kernel density estimation.
abstract: We analyze and compare several data structures and algorithms for evaluating the kernel density estimate. Frequent evaluations of this estimate are for example needed for plotting, error estimation, Monte Carlo estimation of probabilities and functionals, and pattern classification. An experimental comparison is included.
authors.affiliation: School of Computer Science, McGill University, Montreal, P.Q., Canada.
authors.forename: L
authors.initials: L
authors.lastname: Devroye
authors.forename: F
authors.initials: F
authors.lastname: Machell