title: The Support Reduction Algorithm for Computing Non-Parametric Function Estimates in Mixture Models.
abstract: In this paper, we study an algorithm (which we call the support reduction algorithm) that can be used to compute non-parametric M-estimators in mixture models. The algorithm is compared with natural competitors in the context of convex regression and the 'Aspect problem' in quantum physics.
authors.affiliation: Delft Institute of Applied Mathematics, Delft University of Technology.
authors.forename: Piet
authors.initials: P
authors.lastname: Groeneboom
authors.forename: Geurt
authors.initials: G
authors.lastname: Jongbloed
authors.forename: Jon A
authors.initials: JA
authors.lastname: Wellner