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10/20/2022
CLT for random quadratic forms based on sample means and sample covariance matrices
In this paper, we use the dimensional reduction technique to study the c...
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07/20/2022
Matrix Kendall's tau in High-dimensions: A Robust Statistic for Matrix Factor Model
In this article, we first propose generalized row/column matrix Kendall'...
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05/27/2021
Central Limit Theory for Linear Spectral Statistics of Normalized Separable Sample Covariance Matrix
This paper focuses on the separable covariance matrix when the dimension...
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11/04/2020
Physics-Informed Neural Network Super Resolution for Advection-Diffusion Models
Physics-informed neural networks (NN) are an emerging technique to impro...
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01/28/2019
On eigenvalues of a high-dimensional spatial-sign covariance matrix
Sample spatial-sign covariance matrix is a much-valued alternative to sa...
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01/16/2019
