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20182020
most citedGlobally Optimal And Adaptive Short-Term Forecast of Locally Stationary Time Series And A Test for Its Stability

2 citations · 2 across the 2 of their papers we have counts for

collaborators

7 papers

stat.ME2020

Multivariate functional responses low rank regression with an application to brain imaging data

Xiucai Ding, Dengdeng Yu, Zhengwu Zhang +1

We propose a multivariate functional responses low rank regression model with possible high dimensional functional responses and scalar covariates. By expanding the slope functions…

math.ST2020

Statistical inference for principal components of spiked covariance matrices

Zhigang Bao, Xiucai Ding, Jingming Wang +1

In this paper, we study the asymptotic behavior of the extreme eigenvalues and eigenvectors of the high dimensional spiked sample covariance matrices, in the supercritical case whe…

math.ST20192 cited

Globally Optimal And Adaptive Short-Term Forecast of Locally Stationary Time Series And A Test for Its Stability

Xiucai Ding, Zhou Zhou

Forecasting the evolution of complex systems is one of the grand challenges of modern data science. The fundamental difficulty lies in understanding the structure of the observed s…

math.ST2019

On the spectral property of kernel-based sensor fusion algorithms of high dimensional data

Xiucai Ding, Hau-Tieng Wu

We apply local laws of random matrices and free probability theory to study the spectral properties of two kernel-based sensor fusion algorithms, nonparametric canonical correlatio…

math.ST2019

Principal components of spiked covariance matrices in the supercritical regime

Zhigang Bao, Xiucai Ding, Jingming Wang +1

In this paper, we study the asymptotic behavior of the extreme eigenvalues and eigenvectors of the spiked covariance matrices, in the supercritical regime. Specifically, we derive…

math.ST2018

Singular vector and singular subspace distribution for the matrix denoising model

Zhigang Bao, Xiucai Ding, Ke Wang

In this paper, we study the matrix denosing model , where is a low-rank deterministic signal matrix and is a random noise matrix, and both are . In the sc…