Ningning Xia

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All published works
Action Title Year Authors
+ PDF Chat Tests for principal eigenvalues and eigenvectors 2024 Jianqing Fan
Yingying Li
Ningning Xia
Xinghua Zheng
+ PDF Chat Tests for Principal Eigenvalues and Eigenvectors 2024 Jianqing Fan
Yingying Li
Ningning Xia
Xinghua Zheng
+ On the Estimation of High-Dimensional Integrated Covariance Matrix Based on High-Frequency Data With Multiple Transactions 2023 Moming Wang
Jianhua Hu
Ningning Xia
Yong Zhou
+ On the eigenvectors of large-dimensional sample spatial sign covariance matrices 2022 Yangchang Xu
Ningning Xia
+ Design-free estimation of integrated covariance matrices for high-frequency data 2021 Cheng Liu
Moming Wang
Ningning Xia
+ Some aspects of response variable selection and estimation in multivariate linear regression 2021 Jianhua Hu
Xiaoqian Liu
Xu Liu
Ningning Xia
+ Estimation of high-dimensional integrated covariance matrix based on noisy high-frequency data with multiple observations 2020 Moming Wang
Ningning Xia
+ On the estimation of high-dimensional integrated covariance matrix based on high-frequency data with multiple transactions 2019 Moming Wang
Ningning Xia
You Zhou
+ PDF Chat On the inference about the spectral distribution of high-dimensional covariance matrix based on high-frequency noisy observations 2018 Ningning Xia
Xinghua Zheng
+ PDF Chat Convergence rate of eigenvector empirical spectral distribution of large Wigner matrices 2016 Ningning Xia
Zhidong Bai
+ On the inference about the spectral distribution of high-dimensional covariance matrix based on high-frequency noisy observations 2016 Ningning Xia
Xinghua Zheng
+ Shrinkage estimation of covariance matrix for portfolio choice with high frequency data 2016 Cheng Liu
Ningning Xia
Jun Yu
+ Convergence rate of eigenvector empirical spectral distribution of large Wigner matrices 2016 Ningning Xia
Zhidong Bai
+ PDF Chat On the Inference About the Spectral Distribution of High-Dimensional Covariance Matrix Based on High-Frequency Noisy Observations 2016 Ningning Xia
Xinghua Zheng
+ Integrated covariance matrix estimation for high-dimensional diusion processes in the presence of microstructure noise 2014 Ningning Xia
Xinghua Zheng
+ On the inference about the spectra of high-dimensional covariance matrix based on noisy observations-with applications to integrated covolatility matrix inference in the presence of microstructure noise 2014 Ningning Xia
Xinghua Zheng
+ Functional CLT of eigenvectors for large sample covariance matrices 2013 Ningning Xia
Zhidong Bai
+ Convergence rates of eigenvector empirical spectral distribution of large dimensional sample covariance matrix 2013 Ningning Xia
Yingli Qin
Zhidong Bai
Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ PDF Chat No eigenvalues outside the support of the limiting spectral distribution of large-dimensional sample covariance matrices 1998 Zhidong Bai
Jack W. Silverstein
10
+ PDF Chat Spectral Analysis of Large Dimensional Random Matrices 2009 Zhidong Bai
Jack W. Silverstein
9
+ On the Empirical Distribution of Eigenvalues of a Class of Large Dimensional Random Matrices 1995 Jack W. Silverstein
Zhidong Bai
9
+ Microstructure noise in the continuous case: The pre-averaging approach 2008 Jean Jacod
Yingying Li
Per A. Mykland
Mark Podolskij
Mathias Vetter
7
+ On the estimation of integrated covariance matrices of high dimensional diffusion processes 2011 Xinghua Zheng
Yingying Li
6
+ On the eigenvectors of large dimensional sample covariance matrices 1989 Jack W. Silverstein
5
+ PDF Chat CLT for linear spectral statistics of large-dimensional sample covariance matrices 2004 Zhidong Bai
Jack W. Silverstein
5
+ PDF Chat Spectrum estimation for large dimensional covariance matrices using random matrix theory 2008 Noureddine El Karoui
5
+ PDF Chat On asymptotics of eigenvectors of large sample covariance matrix 2007 Zhidong Bai
Baojun Miao
Guangming Pan
5
+ Designing Realized Kernels to Measure the ex post Variation of Equity Prices in the Presence of Noise 2008 Ole E. Barndorff‐Nielsen
Peter Reinhard Hansen
Asger Lunde
Neil Shephard
5
+ PDF Chat Eigenvector distribution of Wigner matrices 2011 Antti Knowles
Jun Yin
4
+ PDF Chat On the distribution of the largest eigenvalue in principal components analysis 2001 Iain M. Johnstone
4
+ Improved Estimation of Eigenvalues and Eigenvectors of Covariance Matrices Using Their Sample Estimates 2008 Xavier Mestre
4
+ NO EIGENVALUES OUTSIDE THE SUPPORT OF THE LIMITING SPECTRAL DISTRIBUTION OF INFORMATION-PLUS-NOISE TYPE MATRICES 2011 Zhidong Bai
Jack W. Silverstein
4
+ ON ESTIMATION OF THE POPULATION SPECTRAL DISTRIBUTION FROM A HIGH‐DIMENSIONAL SAMPLE COVARIANCE MATRIX 2010 Zhidong Bai
Jiaqi Chen
Jianfeng Yao
4
+ Analysis of the limiting spectral distribution of large dimensional information-plus-noise type matrices 2007 R. Brent Dozier
Jack W. Silverstein
4
+ PDF Chat Asymptotic Theory for Principal Component Analysis 1963 T. W. Anderson
4
+ On the empirical distribution of eigenvalues of large dimensional information-plus-noise-type matrices 2006 R. Brent Dozier
Jack W. Silverstein
4
+ PDF Chat Estimation of volatility functionals in the simultaneous presence of microstructure noise and jumps 2009 Mark Podolskij
Mathias Vetter
4
+ PDF Chat Vast Volatility Matrix Estimation Using High-Frequency Data for Portfolio Selection 2012 Jianqing Fan
Yingying Li
Ke Yu
4
+ PDF Chat Weak Convergence of Random Functions Defined by The Eigenvectors of Sample Covariance Matrices 1990 Jack W. Silverstein
4
+ On the Realized Risk of High-Dimensional Markowitz Portfolios 2013 Noureddine El Karoui
3
+ Nonparametric eigenvalue-regularized precision or covariance matrix estimator 2016 Clifford Lam
3
+ Sparse principal component analysis and iterative thresholding 2013 Zongming Ma
3
+ PDF Chat RANDOM MATRICES: UNIVERSAL PROPERTIES OF EIGENVECTORS 2011 Terence Tao
Van Vu
3
+ PDF Chat Large Volatility Matrix Inference via Combining Low-Frequency and High-Frequency Approaches 2011 Minjing Tao
Yazhen Wang
Qiwei Yao
Jian Zou
3
+ PDF Chat Convergence Rate of Expected Spectral Distributions of Large Random Matrices. Part I. Wigner Matrices 1993 Zhidong Bai
3
+ ASYMPTOTICS OF SAMPLE EIGENSTRUCTURE FOR A LARGE DIMENSIONAL SPIKED COVARIANCE MODEL 2007 Debashis Paul
3
+ Functional CLT of eigenvectors for large sample covariance matrices 2013 Ningning Xia
Zhidong Bai
3
+ On the inference about the spectra of high-dimensional covariance matrix based on noisy observations-with applications to integrated covolatility matrix inference in the presence of microstructure noise 2014 Ningning Xia
Xinghua Zheng
3
+ PDF Chat Eigenvectors of some large sample covariance matrix ensembles 2010 Olivier Ledoit
Sandrine Péché
3
+ PDF Chat On the inference about the spectral distribution of high-dimensional covariance matrix based on high-frequency noisy observations 2018 Ningning Xia
Xinghua Zheng
3
+ Spectrum estimation: A unified framework for covariance matrix estimation and PCA in large dimensions 2015 Olivier Ledoit
Michael Wolf
3
+ DISTRIBUTION OF EIGENVALUES FOR SOME SETS OF RANDOM MATRICES 1967 V A Marčenko
L. А. Pastur
3
+ PDF Chat Diffusions with measurement errors. II. Optimal estimators 2001 Arnaud Gloter
Jean Jacod
2
+ Nonlinear shrinkage estimation of large-dimensional covariance matrices 2012 Olivier Ledoit
Michael Wolf
2
+ The principal correlation components estimator and its optimality 2015 Wenxing Guo
Xiaohui Liu
Shangli Zhang
2
+ Limiting Behavior of Eigenvectors of Large Wigner Matrices 2011 Zhidong Bai
Guangming Pan
2
+ Strong Convergence of the Empirical Distribution of Eigenvalues of Large Dimensional Random Matrices 1995 Jack W. Silverstein
2
+ PDF Chat LARGE INFORMATION PLUS NOISE RANDOM MATRIX MODELS AND CONSISTENT SUBSPACE ESTIMATION IN LARGE SENSOR NETWORKS 2011 Walid Hachem
Philippe Loubaton
Xavier Mestre
Jamal Najım
Pascal Vallet
2
+ PDF Chat On the convergence of the spectral empirical process of Wigner matrices 2005 Zhidong Bai
Jianfeng Yao
2
+ PDF Chat Central Limit Theorem for Partial Linear Eigenvalue Statistics of Wigner Matrices 2012 Zhigang Bao
Guangming Pan
Wang Zhou
2
+ Describing the Behavior of Eigenvectors of Random Matrices Using Sequences of Measures on Orthogonal Groups 1981 Jack W. Silverstein
2
+ Some limit theorems on the eigenvectors of large dimensional sample covariance matrices 1984 Jack W. Silverstein
2
+ The rate of convergence for spectra of GUE and LUE matrix ensembles 2005 Friedrich Götze
А. Н. Тихомиров
2
+ A note on the convergence rate of the spectral distributions of large random matrices 1997 Zhidong Bai
Miao Bai-qi
Jhishen Tsay
2
+ PDF Chat On the limit of the largest eigenvalue of the large dimensional sample covariance matrix 1988 Yanqing Yin
Zhidong Bai
P. R. Krishnaiah
2
+ PDF Chat A Note on Rate of Convergence in Probability to Semicircular Law 2011 Zhidong Bai
Jiang Hu
Guangming Pan
Zhou Wang
2
+ PDF Chat Local Semicircle Law and Complete Delocalization for Wigner Random Matrices 2008 László Erdős
Benjamin Schlein
Horng‐Tzer Yau
2
+ PDF Chat Large Covariance Estimation by Thresholding Principal Orthogonal Complements 2013 Jianqing Fan
Yuan Liao
Martina Mincheva
2