Shanshan Wang

14 papers Journal 14
YearRankTypeTitle / Venue / Authors
2026 J jnl
Neural network for censored expectile regression based on data augmentation.
Neurocomputing
Wei Cao, Shanshan Wang
2024 J jnl
Variable selection for multivariate functional data via conditional correlation learning.
Comput. Stat.
Keyao Wang, Huiwen Wang, Shanshan Wang, Lihong Wang
2023 J jnl
Robust regression for interval-valued data based on midpoints and log-ranges.
Adv. Data Anal. Classif.
Qing Zhao, Huiwen Wang, Shanshan Wang
2021 J jnl
A flexible spatial autoregressive modelling framework for mixed covariates of multiple data types.
Commun. Stat. Simul. Comput.
Huiwen Wang, Tingting Huang, Shanshan Wang
2021 J jnl
A robust spatial autoregressive scalar-on-function regression with t-distribution.
Adv. Data Anal. Classif.
Tingting Huang, Gilbert Saporta, Huiwen Wang, Shanshan Wang
2021 J jnl
Convex clustering method for compositional data via sparse group lasso.
Neurocomputing
Xiaokang Wang, Huiwen Wang, Shanshan Wang, Jidong Yuan
2020 J jnl
Ultra-high dimensional variable screening via Gram-Schmidt orthogonalization.
Comput. Stat.
Huiwen Wang, Ruiping Liu, Shanshan Wang, Zhichao Wang, Gilbert Saporta
2019 J jnl
A novel approach to intrusion detection using SVM ensemble with feature augmentation.
Comput. Secur.
Jie Gu, Lihong Wang, Huiwen Wang, Shanshan Wang
2019 J jnl
Bayesian quantile regression and variable selection for partial linear single-index model: Using free knot spline.
Commun. Stat. Simul. Comput.
Yang Yu, Zhihong Zou, Shanshan Wang
2019 J jnl
Incremental modelling for compositional data streams.
Commun. Stat. Simul. Comput.
Yuan Wei, Huiwen Wang, Shanshan Wang, Gilbert Saporta
2019 J jnl
Linear mixed-effects model for multivariate longitudinal compositional data.
Neurocomputing
Zhichao Wang, Huiwen Wang, Shanshan Wang
2018 J jnl
Semiparametric regression analysis of clustered survival data with semi-competing risks.
Comput. Stat. Data Anal.
Mengjiao Peng, Liming Xiang, Shanshan Wang
2017 J jnl
An effective intrusion detection framework based on SVM with feature augmentation.
Knowl. Based Syst.
Huiwen Wang, Jie Gu, Shanshan Wang
2017 J jnl
Penalized empirical likelihood inference for sparse additive hazards regression with a diverging number of covariates.
Stat. Comput.
Shanshan Wang, Liming Xiang