A note on asymptotic approximations of inverse moments of nonnegative random variables X Shi, Y Wu, Y Liu Statistics & probability letters 80 (15-16), 1260-1264, 2010 | 34 | 2010 |
股票价格波动的混沌行为分析 王卫宁, 汪秉宏, 史晓平 数量经济技术经济研究, 141-147, 2004 | 33 | 2004 |
Asymptotic approximation of inverse moments of nonnegative random variables TJ Wu, X Shi, B Miao Statistics & Probability Letters 79 (11), 1366-1371, 2009 | 31 | 2009 |
A novel and fast methodology for simultaneous multiple structural break estimation and variable selection for nonstationary time series models B Jin, X Shi, Y Wu Statistics and Computing 23, 221-231, 2013 | 28 | 2013 |
Strong convergence rate of estimators of change point and its application X Shi, Y Wu, B Miao Computational statistics & data analysis 53 (4), 990-998, 2009 | 26 | 2009 |
Consistent and powerful graph-based change-point test for high-dimensional data X Shi, Y Wu, CR Rao Proceedings of the National Academy of Sciences 114 (15), 3873-3878, 2017 | 22 | 2017 |
Consistent two‐stage multiple change‐point detection in linear models B Jin, Y Wu, X Shi Canadian journal of statistics 44 (2), 161-179, 2016 | 20 | 2016 |
Clustering method with axiomatization to support failure mode and effect analysis Y Dong, S Wu, X Shi, Y Li, F Chiclana Iise Transactions 55 (7), 657-671, 2023 | 18 | 2023 |
Approximation of the expected value of the harmonic mean and some applications CR Rao, X Shi, Y Wu Proceedings of the National Academy of Sciences 111 (44), 15681-15686, 2014 | 15 | 2014 |
Approximation to the moments of ratios of cumulative sums X Shi, N Reid, Y Wu Canadian Journal of Statistics 42 (2), 325-336, 2014 | 12 | 2014 |
A sequential multiple change-point detection procedure via VIF regression X Shi, XS Wang, D Wei, Y Wu Computational Statistics 31, 671-691, 2016 | 11 | 2016 |
A note on the convergence rate of the kernel density estimator of the mode X Shi, Y Wu, B Miao Statistics & probability letters 79 (17), 1866-1871, 2009 | 11 | 2009 |
Fuzzy c-means clustering: A review of applications in breast cancer detection D Krasnov, D Davis, K Malott, Y Chen, X Shi, A Wong Entropy 25 (7), 1021, 2023 | 10 | 2023 |
Consistent and powerful non-Euclidean graph-based change-point test with applications to segmenting random interfered video data X Shi, Y Wu, CR Rao Proceedings of the National Academy of Sciences 115 (23), 5914-5919, 2018 | 9 | 2018 |
Saddlepoint approximation of nonlinear moments X Shi, XS Wang, N Reid Statistica Sinica, 1597-1611, 2014 | 8 | 2014 |
A Statistical Test of Change‐Point in Mean that Almost Surely Has Zero Error Probabilities G Qian, X Shi, Y Wu Australian & New Zealand Journal of Statistics 55 (4), 435-454, 2013 | 8 | 2013 |
Consistency of change point estimators for symmetrical stable distribution with parameters shift XP Shi, BQ Miao, CL Ge Science in China Series A: Mathematics 51 (5), 842-850, 2008 | 6 | 2008 |
Two-Sample Tests Based on Data Depth X Shi, YZ Zhang, Y Fu Entropy 25 (2), 238, 2023 | 5 | 2023 |
Accurate tests for the equality of coefficients of variation X Shi, A Wong Journal of statistical computation and simulation 88 (18), 3529-3543, 2018 | 5 | 2018 |
On nonparametric change point estimator based on empirical characteristic functions CC Tan, XP Shi, XY Sun, YH Wu Science China Mathematics 59, 2463-2484, 2016 | 4 | 2016 |