2 citations · 4 across the 16 of their papers we have counts for
16 papers
Local Laws and Edge Universality for Noncentral Sample Covariance Matrices
Can Hu, Jiang Hu, Zhidong Bai
We consider the real noncentral sample covariance matrices with . Here is deterministic, $Σ\in \mathbb{R}^{M\times…
Functional CLT for general sample covariance matrices
Jian Cui, Zhijun Liu, Jiang Hu +1
This paper studies the central limit theorems (CLTs) for linear spectral statistics (LSSs) of general sample covariance matrices, when the test functions belong to , the class…
Asymptotics for Reinforced Stochastic Processes on Hierarchical Networks
Li Yang, Dandan Jiang, Jiang Hu +1
In this paper, we analyze the asymptotic behavior of a system of interacting reinforced stochastic processes on a directed network of agents. The sys…
A general partial Cramér's condition for Edgeworth expansion of a function of sample means with applications
Yashi Wei, Jiang Hu, Zhidong Bai
A large class of statistics can be formulated as smooth functions of sample means of random vectors. In this paper, we propose a general partial Cramér's condition (GPCC) and apply…
Asymptotic distributions of four linear hypotheses test statistics under generalized spiked model
Zhijun Liu, Jiang Hu, Zhidong Bai +1
In this paper, we establish the Central Limit Theorem (CLT) for linear spectral statistics (LSSs) of large-dimensional generalized spiked sample covariance matrices, where the spik…
Edgeworth corrections for the spiked eigenvalues of non-Gaussian sample covariance matrices with applications
Yashi Wei, Jiang Hu, Zhidong Bai
Yang and Johnstone (2018) established an Edgeworth correction for the largest sample eigenvalue in a spiked covariance model under the assumption of Gaussian observations, leaving…