| Empirical likelihood inference for Haezendonck-Goovaerts risk measure L Peng, X Wang, Y Zheng European Actuarial Journal 5, 427-445, 2015 | 18 | 2015 |
| Failure-averse active learning for physics-constrained systems C Lee, X Wang, J Wu, X Yue IEEE Transactions on Automation Science and Engineering, 2022 | 14 | 2022 |
| Inference for intermediate Haezendonck–Goovaerts risk measure X Wang, L Peng Insurance: Mathematics and Economics 68, 231-240, 2016 | 13 | 2016 |
| Extreme and inference for tail Gini functionals with applications in tail risk measurement Y Hou, X Wang Journal of the American Statistical Association 116 (535), 1428-1443, 2021 | 9 | 2021 |
| Nonparametric inference for sensitivity of Haezendonck–Goovaerts risk measure X Wang, Q Liu, Y Hou, L Peng Scandinavian Actuarial Journal 2018 (8), 661-680, 2018 | 8 | 2018 |
| Endpoint estimation for observations with normal measurement errors X Leng, L Peng, X Wang, C Zhou Extremes 22, 71-96, 2019 | 7 | 2019 |
| Haezendonck–Goovaerts risk measure with a heavy tailed loss Q Liu, L Peng, X Wang Insurance: Mathematics and Economics 76, 28-47, 2017 | 5 | 2017 |
| Nonparametric inference for distortion risk measures on tail regions Y Hou, X Wang Insurance: Mathematics and Economics 89, 92-110, 2019 | 4 | 2019 |
| Statistical Inference for the Haezendonck-Goovaerts Risk Measure X Wang | | 2018 |
