The Support Reduction Algorithm for Computing Non‐Parametric Function Estimates in Mixture Models

Piet Groeneboom, Geurt Jongbloed and Jon A. Wellner

Scandinavian Journal of Statistics, 2008, vol. 35, issue 3, 385-399

Abstract: 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.

Date: 2008
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https://doi.org/10.1111/j.1467-9469.2007.00588.x

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Persistent link: https://EconPapers.repec.org/RePEc:bla:scjsta:v:35:y:2008:i:3:p:385-399

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