| Publication | Date of Publication | Type |
|---|
| Communication-efficient distributed estimation of partially linear additive models for large-scale data | 2024-04-09 | Paper |
| Communication‐efficient low‐dimensional parameter estimation and inference for high‐dimensional Lp$$ {L}^p $$‐quantile regression | 2024-03-15 | Paper |
| Optimal decorrelated score subsampling for generalized linear models with massive data | 2024-02-12 | Paper |
| Model‐Assisted Regression Estimators for Longitudinal Data with Nonignorable Dropout | 2023-11-17 | Paper |
| High-dimensional \(M\)-estimation for Byzantine-robust decentralized learning | 2023-11-13 | Paper |
| Improved composite quantile regression and variable selection with nonignorable dropouts | 2023-11-08 | Paper |
| Online regularized matrix regression with streaming data | 2023-09-15 | Paper |
| Communication-efficient estimation of quantile matrix regression for massive datasets | 2023-09-15 | Paper |
| Two-stage communication-efficient distributed sparse M-estimation with missing data | 2023-07-10 | Paper |
| Improved multiple quantile regression estimation with nonignorable dropouts | 2023-06-20 | Paper |
| Communication-efficient sparse composite quantile regression for distributed data | 2023-04-11 | Paper |
| Impact of sufficient dimension reduction in nonparametric estimation of causal effect | 2023-03-07 | Paper |
| Some issues on longitudinal data with nonignorable dropout, a discussion of “Statistical Inference for Nonignorable Missing-Data Problems: A Selective Review” by Niansheng Tang and Yuanyuan Ju | 2023-03-07 | Paper |
| Nearest neighbour imputation under single index models | 2023-03-07 | Paper |
| Quantile treatment effect estimation with dimension reduction | 2023-03-07 | Paper |
| Smoothed tensor quantile regression estimation for longitudinal data | 2022-12-06 | Paper |
| Ensemble and calibration multiply robust estimation for quantile treatment effect | 2022-11-02 | Paper |
| Robust statistical inference for longitudinal data with nonignorable dropouts | 2022-10-24 | Paper |
| Identifiability and estimation of two-sample data with nonignorable missing response | 2022-09-14 | Paper |
| Improved kth power expectile regression with nonignorable dropouts | 2022-09-14 | Paper |
| Optimal subsampling for composite quantile regression model in massive data | 2022-08-23 | Paper |
| Multi-round smoothed composite quantile regression for distributed data | 2022-08-17 | Paper |
| Smoothed quantile regression with nonignorable dropouts | 2022-07-15 | Paper |
| Generalised regression estimators for average treatment effect with multicollinearity in high-dimensional covariates | 2022-05-25 | Paper |
| Multiple robustness estimation in causal inference | 2022-05-20 | Paper |
| Dimension-reduced empirical likelihood estimation and inference for M-estimators with nonignorable nonresponse | 2022-05-05 | Paper |
| Generalized partial linear models with nonignorable dropouts | 2022-02-11 | Paper |
| https://portal.mardi4nfdi.de/entity/Q5004037 | 2021-07-30 | Paper |
| Improved empirical likelihood inference and variable selection for generalized linear models with longitudinal nonignorable dropouts | 2021-07-20 | Paper |
| Sufficient dimension reduction and instrument search for data with nonignorable nonresponse | 2021-07-09 | Paper |
| Dimension-reduced semiparametric estimation of distribution functions and quantiles with nonignorable nonresponse | 2021-05-07 | Paper |
| An efficient multiple imputation approach for estimating equations with response missing at random and high-dimensional covariates | 2021-04-08 | Paper |
| Generalized Regression Estimators with High-Dimensional Covariates | 2020-11-16 | Paper |
| Communication-efficient estimation of high-dimensional quantile regression | 2020-11-10 | Paper |
| CUSUM chart for detecting range shifts when monotonicity of likelihood ratio is invalid | 2020-11-04 | Paper |
| Sequential LND sensitivity test for binary response data | 2020-10-26 | Paper |
| Empirical likelihood and Wilks phenomenon for data with nonignorable missing values | 2020-07-17 | Paper |
| Semiparametric estimation of copula models with nonignorable missing data | 2020-03-25 | Paper |
| Asymptotic optimality of double sequential mixture likelihood ratio test | 2020-03-09 | Paper |
| Dimension reduction for kernel-assisted M-estimators with missing response at random | 2019-08-13 | Paper |
| Convex Surrogate Minimization in Classification | 2019-02-28 | Paper |
| Analysis of longitudinal data under nonignorable nonmonotone nonresponse | 2018-09-18 | Paper |
| F-distribution calibrated empirical likelihood ratio tests for multiple hypothesis testing | 2018-09-17 | Paper |
| Dimension reduction in estimating equations with covariates missing at random | 2018-05-28 | Paper |
| Dimension-reduced empirical likelihood inference for response mean with data missing at random | 2018-01-05 | Paper |
| Bartlett-corrected two-sample adjusted empirical likelihood via resampling | 2017-12-06 | Paper |
| Semiparametric inverse propensity weighting for nonignorable missing data | 2016-04-05 | Paper |
| Spatial median depth-based robust adjusted empirical likelihood | 2015-12-04 | Paper |
| Sequential Two-stage D-optimality Sensitivity Test for Binary Response Data | 2015-09-04 | Paper |
| Resampling calibrated adjusted empirical likelihood | 2015-04-24 | Paper |
| A Double Sequential Weighted Probability Ratio Test for One-Sided Composite Hypotheses | 2013-11-26 | Paper |
| Degenerate-generalized likelihood ratio test for one-sided composite hypotheses | 2013-06-11 | Paper |
