Kamu erişimi zorunlu olan makaleler - Chenlei Leng (冷琛雷)Daha fazla bilgi edinin
Hiçbir yerde sunulmuyor: 1
A simulation study of the model for directed random graphs
T Yan, C Leng
Statistics and Its Interface 8 (3), 255-266, 2015
Zorunlu olanlar: National Natural Science Foundation of China
Bir yerde sunuluyor: 29
High dimensional ordinary least squares projection for screening variables
X Wang, C Leng
Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2016
Zorunlu olanlar: US National Institutes of Health
A joint modelling approach for longitudinal studies
W Zhang, C Leng, CY Tang
Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2015
Zorunlu olanlar: National Natural Science Foundation of China
Statistical inference in a directed network model with covariates
T Yan, B Jiang, SE Fienberg, C Leng
Journal of the American Statistical Association 114 (526), 857-868, 2019
Zorunlu olanlar: National Natural Science Foundation of China, UK Engineering and Physical …
Asymptotics in directed exponential random graph models with an increasing bi-degree sequence
T Yan, C Leng, J Zhu
Annals of Statistics 44 (1), 31-57, 2016
Zorunlu olanlar: US National Science Foundation, National Natural Science Foundation of China
A direct approach for sparse quadratic discriminant analysis.
B Jiang, X Wang, C Leng
Journal of Machine Learning Research 19, 1-37, 2018
Zorunlu olanlar: UK Engineering and Physical Sciences Research Council, Research Grants …
Dynamic covariance models
Z Chen, C Leng
Journal of the American Statistical Association 111 (515), 1196-1207, 2016
Zorunlu olanlar: National Natural Science Foundation of China
Spectral analysis of high-dimensional time series
M Fiecas, C Leng, W Liu, Y Yu
Zorunlu olanlar: UK Engineering and Physical Sciences Research Council
Analysis of Networks via the Sparse -Model
M Chen, K Kato, C Leng
Journal of the Royal Statistical Society Series B 83, 887-910, 2021
Zorunlu olanlar: US National Science Foundation
Rank-based variable selection with censored data
J Xu, C Leng, Z Ying
Statistics and computing 20 (2), 165, 2010
Zorunlu olanlar: US National Institutes of Health
Nonparametric estimation of large covariance matrices with conditional sparsity
H Wang, B Peng, D Li, C Leng
Journal of Econometrics 223 (1), 53-72, 2021
Zorunlu olanlar: National Natural Science Foundation of China, UK Research & Innovation
Dynamic linear discriminant analysis in high dimensional space
B Jiang, Z Chen, C Leng
Zorunlu olanlar: National Natural Science Foundation of China, UK Engineering and Physical …
Local linear estimation of covariance matrices via Cholesky decomposition
Z Chen, C Leng
Statistica Sinica, 1249-1263, 2015
Zorunlu olanlar: National Natural Science Foundation of China
Covariance estimation via sparse Kronecker structures
C Leng, G Pan
Bernoulli 24, 3833-3863, 2018
Zorunlu olanlar: UK Engineering and Physical Sciences Research Council
Multiple influential point detection in high dimensional regression spaces
J Zhao, C Liu, L Niu, C Leng
Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2019
Zorunlu olanlar: National Natural Science Foundation of China, UK Engineering and Physical …
A sparse beta regression model for network analysis
S Stein, R Feng, C Leng
Journal of the American Statistical Association, 1-13, 2024
Zorunlu olanlar: UK Engineering and Physical Sciences Research Council
A hybrid bootstrap approach to unit root tests
G Li, C Leng, CL Tsai
Journal of Time Series Analysis 35 (4), 299-321, 2014
Zorunlu olanlar: Research Grants Council, Hong Kong
A guided analytics tool for feature selection in steel manufacturing with an application to blast furnace top gas efficiency
S Stein, C Leng, S Thornton, M Randrianandrasana
Computational Materials Science 186, 110053, 2021
Zorunlu olanlar: UK Engineering and Physical Sciences Research Council
An analysis of penalized interaction models
J Zhao, C Leng
Bernoulli 22 (3), 1937-1961, 2016
Zorunlu olanlar: National Natural Science Foundation of China
Semiparametric tail index regression
R Li, C Leng, J You
Journal of Business & Economic Statistics 40 (1), 82-95, 2022
Zorunlu olanlar: National Natural Science Foundation of China
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