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Estimation of Integrated Functionals of a Monotone Density

23 August 2018
Rajarshi Mukherjee
B. Sen
ArXiv (abs)PDFHTML
Abstract

In this paper we study estimation of integrated functionals of a monotone nonincreasing density fff on [0,∞)[0,\infty)[0,∞). 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}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 fff --- we do not require fff to be (i) smooth, (ii) bounded away from 000, or (iii) compactly supported. Further, when fff 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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