Hansheng Wang
26 catalog papers. Identity-linked publications and additional name matches are distinguished below.
ORCID: 0000-0003-2386-0209
Guanghua School of Management, Peking University, Beijing 100871, China
Publications
- Privacy Protection and Statistical Efficiency Trade-Off for Federated Learning — INFORMS Journal on Computing 2026
- Statistical inference for regression with imputed binary covariates with application to emotion recognition — The Annals of Applied Statistics 2025
- Supervised centrality via sparse network influence regression: An application to the 2021 Henan floods’ social network — The Annals of Applied Statistics 2025
- Mixture conditional regression with ultrahigh dimensional text data for estimating extralegal factor effects — The Annals of Applied Statistics 2024
- Gaussian Mixture Models with Rare Events — Journal of Machine Learning Research 2024 (name-matched, not ORCID-linked)
- Quasi-Newton updating for large-scale distributed learning — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2023
- Dimension reduction for covariates in network data — Biometrika 2022
- Covariance Regression Analysis — Journal of the American Statistical Association 2017
- Network vector autoregression — The Annals of Statistics 2017
- Ultrahigh-Dimensional Multiclass Linear Discriminant Analysis by Pairwise Sure Independence Screening — Journal of the American Statistical Association 2016
- On a Principal Varying Coefficient Model — Journal of the American Statistical Association 2013
- High-dimensional influence measure — The Annals of Statistics 2013
- Factor profiled sure independence screening — Biometrika 2012
- Sufficient dimension reduction for spatial point processes directed by Gaussian random fields — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2010
- Shrinkage Estimation of the Varying Coefficient Model — Journal of the American Statistical Association 2009
- Shrinkage tuning parameter selection with a diverging number of parameters — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2009
- Subgroup Analysis via Recursive Partitioning — Journal of Machine Learning Research 2009 (name-matched, not ORCID-linked)
- Forward Regression for Ultra-High Dimensional Variable Screening — Journal of the American Statistical Association 2009
- Tail Index Regression — Journal of the American Statistical Association 2009
- Sliced Regression for Dimension Reduction — Journal of the American Statistical Association 2008
- Regression coefficient and autoregressive order shrinkage and selection via the lasso — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2007
- Unified LASSO Estimation by Least Squares Approximation — Journal of the American Statistical Association 2007
- Tuning parameter selectors for the smoothly clipped absolute deviation method — Biometrika 2007
- Sample Correlation Coefficients Based on Survey Data Under Regression Imputation — Journal of the American Statistical Association 2002
- High-Dimensional Spatial Autoregression with Latent Factors by Diversified Projections — Journal of the American Statistical Association
- Selecting and Testing Asset-Pricing Models: A Stepwise Approach — Management Science