Citations (9)
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Zhihua Su, Bing Li & Dennis Cook. (2023) Envelope Model for Function-on-Function Linear Regression. Journal of Computational and Graphical Statistics 32:4, pages 1624-1635.
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Rui Miao, Xiaoke Zhang & Raymond K. W. Wong. (2023) A Wavelet-Based Independence Test for Functional Data With an Application to MEG Functional Connectivity. Journal of the American Statistical Association 118:543, pages 1876-1889.
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Kuang-Yao Lee, Lexin Li, Bing Li & Hongyu Zhao. (2023) Nonparametric Functional Graphical Modeling Through Functional Additive Regression Operator. Journal of the American Statistical Association 118:543, pages 1718-1732.
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Eftychia Solea & Rayan Al Hajj. (2023) High-dimensional rank-based graphical models for non-Gaussian functional data. Statistics 57:2, pages 388-422.
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Articles from other publishers (5)
Boxin Zhao, Percy S. Zhai, Y. Samuel Wang & Mladen Kolar. (2024) High-dimensional functional graphical model structure learning via neighborhood selection approach. Electronic Journal of Statistics 18:1.
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Ruonan Li & Luo Xiao. (2023) Latent Factor Model for Multivariate Functional Data. Biometrics 79:4, pages 3307-3318.
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Fangting Zhou, Kejun He, Kunbo Wang, Yanxun Xu & Yang Ni. (2023) Functional Bayesian Networks for Discovering Causality from Multivariate Functional Data. Biometrics 79:4, pages 3279-3293.
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Ying Chen, Maria Grith & Hannah Lai. (2023) Neural Tangent Kernel in Implied Volatility Forecasting: A Nonlinear Functional Autoregression Approach. SSRN Electronic Journal.
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Rong Ma & Hongzhe Li. 2014. Wiley StatsRef: Statistics Reference Online. Wiley StatsRef: Statistics Reference Online
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