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Results 1-25 of 113 (Search time: 0.01 seconds).
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Title
Author(s)
Issue Date
An application of the RINAR(1) process
Proceeding/Conference:
IFAC Proceedings Volumes (IFAC-PapersOnline)
Kachour, M
Yao, JF
2009
On testing for high-dimensional white noise
Journal:
The Annals of Statistics
Li, Z
Lam, C
Yao, J
Yao, Q
2019
Large Covariance and Autocovariance Matrices, By Arup Bose and Monika Bhattacharjee. Published by Taylor & Francis Group, LLC, Boca Raton, London, New York, 2019. ISBN: 9781138303867 (HARDBACK)
Journal:
Journal of Time Series Analysis
Yao, J
2020
Asymptotic joint distribution of extreme eigenvalues and trace of large sample covariance matrix in a generalized spiked population model
Journal:
The Annals of Statistics
Li, Z
Han, F
Yao, JJ
2019
On determining the number of spikes in a high-dimensional spiked population model
Passemier, D
Yao, JJ
2011
On Laplacian spectrum of dendrite trees
Journal:
Linear Algebra and Its Applications
Xu, Y
Yao, J
2020
Asymptotic joint distribution of extreme eigenvalues and trace of large sample covariance matrix in a generalized spiked population model
Journal:
The Annals of Statistics
Li, Z
Han, F
Yao, JJ
2020
On eigenvalues of a high-dimensional spatial-sign covariance matrix
Journal:
Bernoulli
Li, W
Wang, Q
Yao, JJ
Zhou, W
2022
Improving Value-at-Risk Prediction Under Model Uncertainty
Journal:
Journal of Financial Econometrics
Peng, S.
Yang, S.
Yao, JJ
2020
CLT for linear spectral statistics of large dimensional sample covariance matrices with dependent data
Journal:
Statistical Papers
Zou, T
Zheng, S
Bai, Z
Yao, JJ
Zhu, H
2021
Outliers in the spectrum of large sample covariance matrices
Proceeding/Conference:
International Conference of the ERCIM WG on CMStatistics 2015 (CMStatistics 2015 (ERCIM 2015))
Yao, JJ
2015
On estimation of the noise variance in high-dimensional probabilistic principal component analysis
Proceeding/Conference:
IMS-China International Conference on Statistics and Probability, 2015
Yao, JJ
2015
Identifying the number of factors from singular values of a large sample auto-covariance matrix
Proceeding/Conference:
European Meeting of Statisticians (BSMSP)
Yao, JJ
2015
Identifying the number of factors from singular values of a large sample auto-covariance matrix.
Proceeding/Conference:
Statistical Society of Canada Annual Meeting
Yao, JJ
Li, Z
Wang, Q
2016
The problem of centering in the CLT for linear spectral statistics of a large sample covariance matrix
Proceeding/Conference:
Singapore Conference on Staistical Science
Yao, JJ
2014
On structure testing for component covariance matrices of a high-dimensional mixture
Proceeding/Conference:
Joint Statistical Meeting, JSM 2017
Yao, JJ
Li, WM
2017
Eigenvalues of sample covariance matrix from a high-dimensional mixture
Proceeding/Conference:
International Conference on Data Science
Yao, JJ
2016
A new multivariate CUSUM chart using principal components with a revision of Crosier's chart
Journal:
Communications in Statistics: Simulation and Computation
Chen, J
YANG, H
Yao, JJ
2018
On the T2 control chart with estimated parameters
Journal:
Quality Technology & Quantitative Management
Chen, J
Yang, H
Yao, JJ
2018
Testing the independence of two random vectors where only one dimension is large
Journal:
Statistics
Li, W
Chen, J
Yao, JJ
2017
Testing the sphericity of a covariance matrix when the dimension is much larger than the sample size
Journal:
Electronic Journal of Statistics
LI, Z
Yao, JJ
2016
Self-Excited Threshold Poisson Autoregression
Journal:
Journal of the American Statistical Association
Wang, C
Liu, H
Yao, JJ
Davis, RA
Li, WK
2014
Estimation of the number of spikes, possibly equal, in the high-dimensional case
Journal:
Journal of Multivariate Analysis
Passemier, D
Yao, JJ
2014
On generalized expectation-based estimation of a population spectral distribution from high-dimensional data
Journal:
Annals of the Institute of Statistical Mathematics
Li, W
Yao, JJ
2015
A note on the CLT of the LSS for sample covariance matrix from a spiked population model
Journal:
Journal of Multivariate Analysis
Wang, Q
Silverstein, JW
Yao, JJ
2014