On Asymptotics Of The Discrete Convex Lse Of A P.M.F.

BERNOULLI(2017)

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摘要
In this article, we derive the weak limiting distribution of the least squares estimator (LSE) of a convex probability mass function (p.m.f.) with a finite support. We show that it can be defined via a certain convex projection of a Gaussian vector. Furthermore, samples of any given size from this limit distribution can be generated using an efficient Dykstra-like algorithm.
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关键词
convex, least squares, nonparametric estimation, p.m.f., shape-constraints
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