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Teoriya Veroyatnostei i ee Primeneniya, 2024, Volume 69, Issue 3, Pages 511–535
DOI: https://doi.org/10.4213/tvp5566 (Mi tvp5566) 		 
Global rate optimality of integral curve estimators in high order tensor models: Supplemental material

C. Banerjeea, L. A. Sakhanenkoa, D. C. Zhub

a Department of Statistics and Probability, Michigan State University, East Lansing, MI, USA
b Department of Radiology and Gruss Magnetic Resonance Research Center, Albert Einstein College of Medicine, NY, USA
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DOI: https://doi.org/10.4213/tvp5566
Abstract: We prove all the results announced in [C. Banerjee, L. A. Sakhanenko, and D. C. Zhu, Theory Probab. Appl., 68 (2023), pp. 250–266].
Keywords: global minimax lower bound, semiparametric estimation, magnetic resonance high angular resolution diffusion imaging.
Funding agency Grant number
National Science Foundation DMS–1612867
DMS–2111251
This research was partially supported by the National Science Foundation grants DMS–1612867, DMS–2111251 and partially supported by Michigan State University High Performance Computing Center through computational resources provided by the Institute for Cyber–Enabled Research.
Received: 01.11.2021
Accepted: 30.03.2022
Published: 23.07.2024
English version:
Theory of Probability and its Applications, 2024, Volume 69, Issue 3, Pages 404–424
DOI: https://doi.org/10.1137/S0040585X97T99201X
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: C. Banerjee, L. A. Sakhanenko, D. C. Zhu, “Global rate optimality of integral curve estimators in high order tensor models: Supplemental material”, Teor. Veroyatnost. i Primenen., 69:3 (2024), 511–535; Theory Probab. Appl., 69:3 (2024), 404–424
Citation in format AMSBIB
\Bibitem{BanSakZhu24}
\by C.~Banerjee, L.~A.~Sakhanenko, D.~C.~Zhu
\paper Global rate optimality of integral curve estimators in high order tensor models: Supplemental material
\jour Teor. Veroyatnost. i Primenen.
\yr 2024
\vol 69
\issue 3
\pages 511--535
\mathnet{http://mi.mathnet.ru/tvp5566}
\crossref{https://doi.org/10.4213/tvp5566}
\mathscinet{https://mathscinet.ams.org/mathscinet-getitem?mr=4914714}
\transl
\jour Theory Probab. Appl.
\yr 2024
\vol 69
\issue 3
\pages 404--424
\crossref{https://doi.org/10.1137/S0040585X97T99201X}
\scopus{https://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-85208934561}
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