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Journal of the American Statistical Association Volume 117, 2022 - Issue 538
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Theory and Methods

Low-Rank Covariance Function Estimation for Multidimensional Functional Data

Jiayi Wanga Department of Statistics, Texas A&M University, College Station, TX; View further author information
,
Raymond K. W. Wonga Department of Statistics, Texas A&M University, College Station, TX; Correspondence[email protected]
ORCID Iconhttps://orcid.org/0000-0001-9342-3755View further author information
ORCID Icon &
Xiaoke Zhangb Department of Statistics, George Washington University, Washington, DCView further author information
Pages 809-822 | Received 15 Feb 2020, Accepted 01 Sep 2020, Published online: 23 Oct 2020

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William Consagra, Arun Venkataraman & Xing Qiu. (2023) Efficient Multidimensional Functional Data Analysis Using Marginal Product Basis Systems. Journal of Computational and Graphical Statistics 0:0, pages 1-11.
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Xingyu Yan, Jiaqian Yu, Weiyong Ding, Hao Wang & Peng Zhao. (2023) A novel two-way functional linear model with applications in human mortality data analysis. Journal of Applied Statistics 0:0, pages 1-14.
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Rungang Han, Pixu Shi & Anru R. Zhang. (2023) Guaranteed Functional Tensor Singular Value Decomposition. Journal of the American Statistical Association 0:0, pages 1-13.
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Tomas Masak, Tomas Rubin & Victor M. Panaretos. (2022) Inference and Computation for Sparsely Sampled Random Surfaces. Journal of Computational and Graphical Statistics 31:4, pages 1361-1374.
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Kun Cheng & Di‐Rong Chen. (2022) Adaptive estimation for functional data: Using a framelet block‐thresholding method. Canadian Journal of Statistics 50:1, pages 86-121.
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