The support reduction algorithm for computing non-parametric function estimates in mixture models

P. Groeneboom, G. Jongbloed, J.A. Wellner

Research output: Contribution to JournalArticleAcademicpeer-review

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. © Board of the Foundation of the Scandinavian Journal of Statistics 2008.
Original languageEnglish
Pages (from-to)385-399
JournalScandinavian Journal of Statistics
Volume35
Issue number3
DOIs
Publication statusPublished - 2008

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