Minimax optimal estimator in the stochastic inverse problem for exponential Radon transform
Statistics Theory
2020-09-16 v1 Differential Geometry
Statistics Theory
Abstract
In this article, we consider the problem of inverting the exponential Radon transform of a function in the presence of noise. We propose a kernel estimator to estimate the true function, analogous to the one proposed by Korostel\"{e}v and Tsybakov in their article `Optimal rates of convergence of estimators in a probabilistic setup of tomography problem', Problems of Information Transmission, 27:73-81,1991. For the estimator proposed in this article, we then show that it converges to the true function at a minimax optimal rate.
Keywords
Cite
@article{arxiv.2009.07131,
title = {Minimax optimal estimator in the stochastic inverse problem for exponential Radon transform},
author = {Anuj Abhishek},
journal= {arXiv preprint arXiv:2009.07131},
year = {2020}
}