| Computing halfspace depth and regression depth X Liu, Y Zuo Communications in Statistics-Simulation and Computation 43 (5), 969-985, 2014 | 48 | 2014 |
| Search query and tourism forecasting during the pandemic: When and where can digital footprints be helpful as predictors? Y Yang, Y Fan, L Jiang, X Liu Annals of Tourism Research 93, 103365, 2022 | 47 | 2022 |
| Computing projection depth and its associated estimators X Liu, Y Zuo Statistics and Computing 24, 51-63, 2014 | 46 | 2014 |
| Fast Computation of Tukey Trimmed Regions and Median in Dimension p > 2 X Liu, K Mosler, P Mozharovskyi Journal of Computational and Graphical Statistics 28 (3), 682-697, 2019 | 38 | 2019 |
| Exactly computing bivariate projection depth contours and median X Liu, Y Zuo, Z Wang Computational Statistics & Data Analysis 60, 1-11, 2013 | 28 | 2013 |
| A unified test for predictability of asset returns regardless of properties of predicting variables X Liu, B Yang, Z Cai, L Peng Journal of Econometrics 208 (1), 141-159, 2019 | 27 | 2019 |
| Fast implementation of the Tukey depth X Liu Computational Statistics, 2014 | 19 | 2014 |
| CompPD: A MATLAB package for computing projection depth X Liu, Y Zuo Journal of Statistical software 65, 1-21, 2015 | 18 | 2015 |
| Some results on the computing of Tukey's halfspace medain X Liu, S Luo, Y Zuo Statistical Papers, 2016 | 17* | 2016 |
| Finite sample breakdown point of Tukey’s halfspace median XH Liu, YJ Zuo, QH Wang Science China Mathematics 60, 861-874, 2017 | 16 | 2017 |
| Asymptotic theory and unified confidence region for an autoregressive model X Liu, L Peng Journal of Time Series Analysis 40 (1), 43-65, 2019 | 13 | 2019 |
| Testing serial correlation in partially linear single-index errors-in-variables models X Liu, Z Wang, X Hu, G Wang Communications in Statistics-Theory and Methods 40 (14), 2554-2573, 2011 | 12 | 2011 |
| Unified tests for a dynamic predictive regression B Yang, X Liu, L Peng, Z Cai Journal of Business & Economic Statistics 39 (3), 684-699, 2021 | 11 | 2021 |
| A unified inference for predictive quantile regression X Liu, W Long, L Peng, B Yang Journal of the American Statistical Association 119 (546), 1526-1540, 2024 | 8 | 2024 |
| Simple measures of uncertainty for model selection X Liu, Y Li, J Jiang Test 30, 673-692, 2021 | 6 | 2021 |
| Fast computation of Tukey trimmed regions in dimension p> 2 X Liu, K Mosler, P Mozharovskyi arXiv preprint arXiv:1412.5122, 2014 | 6 | 2014 |
| Empirical likelihood-based unified confidence region for a predictive regression model X Liu, Y Liu, F Lu Communications in Statistics-Simulation and Computation 51 (5), 2122-2139, 2022 | 5 | 2022 |
| Unified inference for an AR process regardless of finite or infinite variance GARCH errors H Huang, X Leng, X Liu, L Peng Journal of Financial Econometrics 18 (2), 425-470, 2020 | 5 | 2020 |
| Approximating the projection depth median of dimensions p ⩾ 3 X Liu Communications in Statistics-Simulation and Computation 46 (5), 3756-3768, 2017 | 5 | 2017 |
| Estimation in partially linear single-index models with missing covariates XH Liu, ZZ Wang, XM Hu Communications in Statistics-Theory and Methods 41 (18), 3428-3447, 2012 | 5 | 2012 |
