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Estimation of Integrated Functionals of a Monotone Density

Abstract

In this paper we study estimation of integrated functionals of a monotone nonincreasing density ff on [0,)[0,\infty). We find the exact asymptotic distribution of the natural (tuning parameter-free) plug-in estimator, based on the Grenander estimator. In particular, we show that the simple plug-in estimator is n\sqrt{n}-consistent, asymptotically normal and is semiparametric efficient. Compared to the previous results on this topic (see e.g., Nickl (2008), Jankowski (2014), and Sohl (2015)) our results holds under minimal assumptions on the underlying ff --- we do not require ff to be (i) smooth, (ii) bounded away from 00, or (iii) compactly supported. Further, when ff is the uniform distribution on a compact interval we explicitly characterize the asymptotic distribution of the plug-in estimator --- which now converges at a non-standard rate --- thereby extending the results in Groeneboom and Pyke (1983) for the case of the quadratic functional.

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