Adaptive and efficient isotonic estimation in Wicksell's problem

被引:0
|
作者
Gili, Francesco [1 ]
Jongbloed, Geurt [1 ]
van der Vaart, Aad [1 ]
机构
[1] Delft Univ Technol, Mekelweg 4, NL-2628CD Delft, Netherlands
关键词
Nonparametric estimation; isotonic estimation; non-standard efficiency theory; Argmax functionals; linear inverse problems; MAXIMUM-LIKELIHOOD-ESTIMATION; CONFIDENCE-INTERVALS; SIZE DISTRIBUTIONS;
D O I
10.1080/10485252.2024.2397680
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
We consider nonparametric estimation in Wicksell's problem, which has applications in astronomy for estimating the distribution of star positions in a galaxy and in material sciences for determining a material's 3D microstructure from 2D cross sections. We focus on the isotonised version of the plug-in estimator (IIE) for the cdf F of the spheres' squared radii. This estimator is fully automatic, requiring no tuning parameters, and we show it is adaptive to local smoothness properties of the distribution function F to be estimated. We also prove a local asymptotic minimax lower bound in this non-standard setting, with root logn/n-asymptotics and where the functional F to be estimated is not regular. Combined, our results prove that the isotonic estimator (IIE) is an adaptive, easy-to-compute, and efficient estimator.
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页数:41
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