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題名 Consistency of the Bayes method for the inverse scattering problem
作者 邱普照
Kow, Pu-Zhao;Furuya, Takashi;Wang, Jenn-Nan
貢獻者 應數系
關鍵詞 inverse scattering problem; Bayes method; consistency; contraction rate
日期 2024-03
上傳時間 24-May-2024 11:34:16 (UTC+8)
摘要 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.
關聯 Inverse Problems, Vol.40, No.5, 055001
資料類型 article
DOI https://doi.org/10.1088/1361-6420/ad3089
dc.contributor 應數系
dc.creator (作者) 邱普照
dc.creator (作者) Kow, Pu-Zhao;Furuya, Takashi;Wang, Jenn-Nan
dc.date (日期) 2024-03
dc.date.accessioned 24-May-2024 11:34:16 (UTC+8)-
dc.date.available 24-May-2024 11:34:16 (UTC+8)-
dc.date.issued (上傳時間) 24-May-2024 11:34:16 (UTC+8)-
dc.identifier.uri (URI) https://nccur.lib.nccu.edu.tw/handle/140.119/151268-
dc.description.abstract (摘要) 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.
dc.format.extent 104 bytes-
dc.format.mimetype text/html-
dc.relation (關聯) Inverse Problems, Vol.40, No.5, 055001
dc.subject (關鍵詞) inverse scattering problem; Bayes method; consistency; contraction rate
dc.title (題名) Consistency of the Bayes method for the inverse scattering problem
dc.type (資料類型) article
dc.identifier.doi (DOI) 10.1088/1361-6420/ad3089
dc.doi.uri (DOI) https://doi.org/10.1088/1361-6420/ad3089