Citation:
L. A. Sakhanenko, “Global rate optimality in a model for diffusion tensor imaging”, Teor. Veroyatnost. i Primenen., 55:1 (2010), 19–35; Theory Probab. Appl., 55:1 (2011), 77–90
\Bibitem{Sak10}
\by L.~A.~Sakhanenko
\paper Global rate optimality in a model for diffusion tensor imaging
\jour Teor. Veroyatnost. i Primenen.
\yr 2010
\vol 55
\issue 1
\pages 19--35
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\crossref{https://doi.org/10.4213/tvp4174}
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\transl
\jour Theory Probab. Appl.
\yr 2011
\vol 55
\issue 1
\pages 77--90
\crossref{https://doi.org/10.1137/S0040585X97984619}
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Linking options:
https://www.mathnet.ru/eng/tvp4174
https://doi.org/10.4213/tvp4174
https://www.mathnet.ru/eng/tvp/v55/i1/p19
This publication is cited in the following 6 articles:
Theory Probab. Appl., 69:3 (2024), 404–424
“Global rate optimality of integral curve estimators
in high order tensor models”, Theory Probab. Appl., 68:2 (2023), 250–266
Owen Carmichael, Lyudmila Sakhanenko, “Integral curves from noisy diffusion MRI data with closed-form uncertainty estimates”, Stat Inference Stoch Process, 19:3 (2016), 289
Sakhanenko L., “Rate Acceleration For Estimators of Integral Curves From Diffusion Tensor Imaging (Dti) Data”, Stat. Probab. Lett., 107 (2015), 286–295
Carmichael O., Sakhanenko L., “Estimation of Integral Curves From High Angular Resolution Diffusion Imaging (Hardt) Data”, Linear Alg. Appl., 473:SI (2015), 377–403
Sakhanenko L., “Numerical Issues in Estimation of Integral Curves From Noisy Diffusion Tensor Data”, Stat. Probab. Lett., 82:6 (2012), 1136–1144