Chenlei Leng
30 catalog papers. Identity-linked publications and additional name matches are distinguished below.
ORCID: 0000-0001-5703-9617
Department of Applied Mathematics, Hong Kong Polytechnic University
Publications
- A Sparse Beta Regression Model for Network Analysis — Journal of the American Statistical Association 2025
- Supervised centrality via sparse network influence regression: An application to the 2021 Henan floods’ social network — The Annals of Applied Statistics 2025
- Modelling directed networks with reciprocity — Biometrika 2025
- A two-way heterogeneity model for dynamic networks — The Annals of Statistics 2025
- Applied regression analysis of correlations for correlated data — The Annals of Applied Statistics 2024
- An Annotated Graph Model with Differential Degree Heterogeneity for Directed Networks — Journal of Machine Learning Research 2023 (name-matched, not ORCID-linked)
- Two-mode Networks: Inference with as Many Parameters as Actors and Differential Privacy — Journal of Machine Learning Research 2022 (name-matched, not ORCID-linked)
- Dimension reduction for covariates in network data — Biometrika 2022
- Analysis of networks via the sparse-model — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2021
- Wang and Leng (2016), High-dimensional ordinary least-squares projection for screening variables, Journal of the Royal Statistical Society Series B, 78, 589–611 — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2021
- Statistical Inference in a Directed Network Model With Covariates — Journal of the American Statistical Association 2019
- Multiple influential point detection in high dimensional regression spaces — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2019
- A Direct Approach for Sparse Quadratic Discriminant Analysis — Journal of Machine Learning Research 2018 (name-matched, not ORCID-linked)
- Asymptotics in directed exponential random graph models with an increasing bi-degree sequence — The Annals of Statistics 2016
- Dynamic Covariance Models — Journal of the American Statistical Association 2016
- High dimensional ordinary least squares projection for screening variables — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2016
- A joint modelling approach for longitudinal studies — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2015
- Gradient-Based Kernel Dimension Reduction for Regression — Journal of the American Statistical Association 2014
- High-dimensional influence measure — The Annals of Statistics 2013
- A moving average Cholesky factor model in covariance modelling for longitudinal data — Biometrika 2012
- Penalized empirical likelihood and growing dimensional general estimating equations — Biometrika 2012
- Sparse Matrix Graphical Models — Journal of the American Statistical Association 2012
- Empirical likelihood and quantile regression in longitudinal data analysis — Biometrika 2011
- Forward adaptive banding for estimating large covariance matrices — Biometrika 2011
- Semiparametric Mean–Covariance Regression Analysis for Longitudinal Data — Journal of the American Statistical Association 2010
- Penalized high-dimensional empirical likelihood — Biometrika 2010
- Shrinkage tuning parameter selection with a diverging number of parameters — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2009
- Clarification: Regression model selection—a residual likelihood approach — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2008
- Unified LASSO Estimation by Least Squares Approximation — Journal of the American Statistical Association 2007
- Residual Importance Weighted Transfer Learning for High-dimensional Linear Regression — Journal of the American Statistical Association