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Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/151268

Title:	Consistency of the Bayes method for the inverse scattering problem
Authors:	邱普照 Kow, Pu-Zhao;Furuya, Takashi;Wang, Jenn-Nan
Contributors:	應數系
Keywords:	inverse scattering problem;Bayes method;consistency;contraction rate
Date:	2024-03
Issue Date:	2024-05-24 11:34:16 (UTC+8)
Abstract:	In this work, we consider the inverse scattering problem of determining an unknown refractive index from the far-field measurements using the nonparametric Bayesian approach. We use a collection of large 'samples', which are noisy discrete measurements taking from the scattering amplitude. We will study the frequentist property of the posterior distribution as the sample size tends to infinity. Our aim is to establish the consistency of the posterior distribution with an explicit contraction rate in terms of the sample size. We will consider two different priors on the space of parameters. The proof relies on the stability estimates of the forward and inverse problems. Due to the ill-posedness of the inverse scattering problem, the contraction rate is of a logarithmic type. We also show that such contraction rate is optimal in the statistical minimax sense.
Relation:	Inverse Problems, Vol.40, No.5, 055001
Data Type:	article
DOI 連結:	https://doi.org/10.1088/1361-6420/ad3089
DOI:	10.1088/1361-6420/ad3089
Appears in Collections:	[應用數學系] 期刊論文

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