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Journal of the American Statistical Association Volume 118, 2023 - Issue 543
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Theory and Methods

A Wavelet-Based Independence Test for Functional Data With an Application to MEG Functional Connectivity

Rui Miaoa Department of Statistics, The George Washington University, Washington, DCORCID Iconhttps://orcid.org/0000-0001-5046-6341View further author information
ORCID Icon,
Xiaoke Zhanga Department of Statistics, The George Washington University, Washington, DCCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0002-7272-1523View further author information
ORCID Icon &
Raymond K. W. Wongb Department of Statistics, Texas A&M University, College Station, TXORCID Iconhttps://orcid.org/0000-0001-9342-3755View further author information
ORCID Icon
Pages 1876-1889 | Received 13 Jan 2021, Accepted 13 Dec 2021, Published online: 14 Mar 2022

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Qin Fang, Shaojun Guo & Xinghao Qiao. (2023) Adaptive Functional Thresholding for Sparse Covariance Function Estimation in High Dimensions. Journal of the American Statistical Association 0:0, pages 1-13.
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Articles from other publishers (2)

Mahdi Roozbeh, Arta. Rouhi, Nur Anisah. Mohamed & Fatemeh Jahadi. (2023) Generalized Support Vector Regression and Symmetry Functional Regression Approaches to Model the High-Dimensional Data. Symmetry 15:6, pages 1262.
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Bilol Banerjee & Anil K. Ghosh. (2022) Test of independence for Hilbertian random variables. Stat 11:1.
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