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Publications in Math-Net.Ru |
Citations |
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2024 |
| 1. |
Y. Wu, X. J. Wang, “Convergence rate for randomly weighted
sums of random variables and its application”, Teor. Veroyatnost. i Primenen., 69:3 (2024), 611–628  |
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2023 |
| 2. |
M. M. Xi, X. Q. Li, L. Chen, X. J. Wang, “Complete and complete integral convergence for
arrays of rowwise extended negatively dependent
random variables under sub-linear expectations”, Teor. Veroyatnost. i Primenen., 68:2 (2023), 344–367  ; Theory Probab. Appl., 68:2 (2023), 285–304  |
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2022 |
| 3. |
C. Lu, W. Yu, R. L. Ji, H. L. Zhou, X. J. Wang, “A note on the Berry–Esseen bounds for $\rho$-mixing random variables and their application”, Teor. Veroyatnost. i Primenen., 67:3 (2022), 519–540 ; Theory Probab. Appl., 67:3 (2022), 415–433 |
| 4. |
J. Lang, L. Cheng, Z. Yu, Y. Wu, X. Wang, “Complete $f$-moment convergence for randomly weighted sums of extended negatively dependent random variables and its statistical application”, Teor. Veroyatnost. i Primenen., 67:2 (2022), 327–350  ; Theory Probab. Appl., 67:2 (2022), 261–281 |
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2020 |
| 5. |
C. Lu, X. J. Wang, Y. Wu, “Complete moment convergence for the dependent linear processes with application to the state observers of linear-time-invariant systems”, Teor. Veroyatnost. i Primenen., 65:4 (2020), 725–745 ; Theory Probab. Appl., 65:4 (2021), 570–587  |
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2018 |
| 6. |
X. J. Wang, S. H. Hu, “The Berry–Esseen bound for $\rho$-mixing random variables and its applications in nonparametric regression model”, Teor. Veroyatnost. i Primenen., 63:3 (2018), 584–608  ; Theory Probab. Appl., 63:3 (2019), 479–499 |
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2017 |
| 7. |
X. Wang, Sh. H. Hu, A. I. Volodin, “Moment inequalities for $m$-NOD random variables and their applications”, Teor. Veroyatnost. i Primenen., 62:3 (2017), 587–609 ; Theory Probab. Appl., 62:3 (2018), 471–490 |
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