Artykuły udostępnione publicznie: - Qiwei YaoWięcej informacji
Niedostępny w żadnym miejscu: 1
Discussion of ‘Network cross-validation by edge sampling’
J Chang, ED Kolaczyk, Q Yao
Biometrika 107 (2), 277-280, 2020
Upoważnienia: US Department of Defense, National Natural Science Foundation of China
Dostępne w jakimś miejscu: 32
Identifying cointegration by eigenanalysis
R Zhang, P Robinson, Q Yao
Journal of the American Statistical Association 114 (526), 916-927, 2019
Upoważnienia: National Natural Science Foundation of China, UK Engineering and Physical …
High-dimensional and banded vector autoregressions
S Guo, Y Wang, Q Yao
Biometrika 103 (4), 889-903, 2016
Upoważnienia: US National Science Foundation, National Natural Science Foundation of China …
Principal component analysis for second-order stationary vector time series
J Chang, B Guo, Q Yao
Annals of Statistics 46 (5), 2094-2124, 2018
Upoważnienia: National Natural Science Foundation of China, UK Engineering and Physical …
High dimensional stochastic regression with latent factors, endogeneity and nonlinearity
J Chang, B Guo, Q Yao
Journal of Econometrics 189 (2), 297-312, 2015
Upoważnienia: Australian Research Council, UK Engineering and Physical Sciences Research …
Testing for high-dimensional white noise using maximum cross-correlations
J Chang, Q Yao, W Zhou
Biometrika 104 (1), 111-127, 2017
Upoważnienia: US National Science Foundation, Chinese Academy of Sciences, National …
Generalized Yule–Walker estimation for spatio-temporal models with unknown diagonal coefficients
B Dou, ML Parrella, Q Yao
Journal of Econometrics 194 (2), 369-382, 2016
Upoważnienia: UK Engineering and Physical Sciences Research Council, Government of Italy
Confidence regions for entries of a large precision matrix
J Chang, Y Qiu, Q Yao, T Zou
Journal of Econometrics 206 (1), 57-82, 2018
Upoważnienia: National Natural Science Foundation of China, UK Engineering and Physical …
Modelling matrix time series via a tensor CP-decomposition
J Chang, J He, L Yang, Q Yao
Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2023
Upoważnienia: National Natural Science Foundation of China, UK Engineering and Physical …
On testing for high-dimensional white noise
Z Li, C Lam, J Yao, Q Yao
The Annals of Statistics 47 (6), 3382-3412, 2019
Upoważnienia: US National Science Foundation, US National Institutes of Health, National …
Estimation of subgraph densities in noisy networks
J Chang, ED Kolaczyk, Q Yao
Journal of the American Statistical Association 117 (537), 361-374, 2022
Upoważnienia: US Department of Defense, National Natural Science Foundation of China
Nonparametric transfer function models
JM Liu, R Chen, Q Yao
Journal of econometrics 157 (1), 151-164, 2010
Upoważnienia: US National Institutes of Health
Banded spatio-temporal autoregressions
Z Gao, Y Ma, H Wang, Q Yao
Journal of econometrics 208 (1), 211-230, 2019
Upoważnienia: National Natural Science Foundation of China, UK Engineering and Physical …
Matching a distribution by matching quantiles estimation
N Sgouropoulos, Q Yao, C Yastremiz
Journal of the American Statistical Association 110 (510), 742-759, 2015
Upoważnienia: UK Engineering and Physical Sciences Research Council
Autoregressive networks
B Jiang, J Li, Q Yao
Journal of Machine Learning Research 24 (227), 1-69, 2023
Upoważnienia: National Natural Science Foundation of China, UK Engineering and Physical …
Modeling multivariate volatilities via latent common factors
W Li, J Gao, K Li, Q Yao
Journal of Business & Economic Statistics 34 (4), 564-573, 2016
Upoważnienia: National Natural Science Foundation of China, UK Engineering and Physical …
An autocovariance-based learning framework for high-dimensional functional time series
J Chang, C Chen, X Qiao, Q Yao
Journal of Econometrics 239 (2), 105385, 2024
Upoważnienia: National Natural Science Foundation of China, UK Engineering and Physical …
Estimation of extreme quantiles for functions of dependent random variables
J Gong, Y Li, L Peng, Q Yao
Journal of the Royal Statistical Society: Series B 77 (5), 1001-1024, 2015
Upoważnienia: UK Engineering and Physical Sciences Research Council
Estimation for double-nonlinear cointegration
Y Lin, Y Tu, Q Yao
Journal of Econometrics 216 (1), 175-191, 2020
Upoważnienia: National Natural Science Foundation of China
Simultaneous decorrelation of matrix time series
Y Han, R Chen, CH Zhang, Q Yao
Journal of the American Statistical Association 119 (546), 957-969, 2024
Upoważnienia: UK Engineering and Physical Sciences Research Council
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