Minimax rates of convergence for sliced inverse regression with differential privacy.
Comput. Stat. Data Anal., 2025
Distributed quasi-Newton robust estimation under differential privacy.
CoRR, 2024
Stein variational gradient descent with learned direction.
Inf. Sci., August, 2023
AMDP: An Adaptive Detection Procedure for False Discovery Rate Control in High-Dimensional Mediation Analysis.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Testing symmetry of model errors for nonparametric regression models by using correlation coefficient<sup>1</sup>.
Commun. Stat. Simul. Comput., 2022
Estimation of the Number of Endmembers via Thresholding Ridge Ratio Criterion.
IEEE Trans. Geosci. Remote. Sens., 2020
Dimensionality determination: A thresholding double ridge ratio approach.
Comput. Stat. Data Anal., 2020
Estimation for biased partial linear single index models.
Comput. Stat. Data Anal., 2019
Generalized principal Hessian directions for mixture multivariate skew elliptical distributions.
J. Multivar. Anal., 2018
Semiparametric double robust and efficient estimation for mean functionals with response missing at random.
Comput. Stat. Data Anal., 2018
An adaptive-to-model test for partially parametric single-index models.
Stat. Comput., 2017
Inference for biased transformation models.
Comput. Stat. Data Anal., 2017
Heteroscedasticity testing for regression models: A dimension reduction-based model adaptive approach.
Comput. Stat. Data Anal., 2016
Heteroscedasticity checks for single index models.
J. Multivar. Anal., 2015