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. Such an estimator is closely related to filtered backprojection type inversion formulas in the noise-less setting. For the estimator proposed in this article, we then show that the convergence to the true function is at a minimax optimal rate.
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Abhishek, A. Minimax Optimal Estimator in a Stochastic Inverse Problem for Exponential Radon Transform. Sankhya A 85, 980–998 (2023). https://doi.org/10.1007/s13171-022-00285-4
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DOI: https://doi.org/10.1007/s13171-022-00285-4