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 language | English |
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Pages (from-to) | 385-399 |
Journal | Scandinavian Journal of Statistics |
Volume | 35 |
Issue number | 3 |
DOIs | |
Publication status | Published - 2008 |