| Some limit behaviors for the LS estimator in simple linear EV regression models Y Miao, K Wang, F Zhao Statistics & probability letters 81 (1), 92-102, 2011 | 45 | 2011 |
| Several q-integral inequalities Y Miao, F Qi J. Math. Inequal 3 (1), 115-121, 2009 | 44 | 2009 |
| Strong averaging principle for slow-fast SPDEs with Poisson random measures J Xu, Y Miao, J Liu Discrete Contin. Dyn. Syst. Ser. B 20 (7), 2233-2256, 2015 | 40 | 2015 |
| The central limit theorem for LS estimator in simple linear EV regression models Y Miao, G Yang, L Shen Communications in Statistics—Theory and Methods 36 (12), 2263-2272, 2007 | 39 | 2007 |
| Central limit theorem and almost sure central limit theorem for the product of some partial sums. Y Miao Proceedings of the Indian Academy of Sciences: Mathematical Sciences 118 (2), 2008 | 32 | 2008 |
| Moderate deviation principle for autoregressive processes M Yu, S Si Journal of Multivariate Analysis 100 (9), 1952-1961, 2009 | 29 | 2009 |
| Moderate deviations for LS estimator in simple linear EV regression model Y Miao, W Liu Journal of Statistical Planning and Inference 139 (9), 3122-3131, 2009 | 27 | 2009 |
| On the fractional mixed fractional Brownian motion Y Miao, W Ren, Z Ren Appl. Math. Sci 35, 33-36, 2008 | 26 | 2008 |
| Asymptotic normality and strong consistency of LS estimators in the EV regression model with NA errors Y Miao, F Zhao, K Wang, Y Chen Statistical Papers 54, 193-206, 2013 | 24 | 2013 |
| Strong averaging principle for two-time-scale stochastic McKean-Vlasov equations J Xu, J Liu, J Liu, Y Miao Applied Mathematics & Optimization 84 (Suppl 1), 837-867, 2021 | 23 | 2021 |
| Strong averaging principle for two-time-scale SDEs with non-Lipschitz coefficients J Xu, J Liu, Y Miao Journal of Mathematical Analysis and Applications 468 (1), 116-140, 2018 | 20 | 2018 |
| The loglog law for LS estimator in simple linear EV regression models Y Miao, G Yang Statistics 45 (2), 155-162, 2011 | 18 | 2011 |
| Asymptotic properties of the deviation between order statistics and p-quantile Y Miao, YX Chen, SF Xu Communications in Statistics—Theory and Methods 40 (1), 8-14, 2010 | 18 | 2010 |
| Concentration inequality of maximum likelihood estimator Y Miao Applied mathematics letters 23 (10), 1305-1309, 2010 | 18 | 2010 |
| Hájek-Rényi inequality for dependent random variables in Hilbert space and applications Y Miao Rev. Unión Mat. Argent 53 (1), 101-112, 2012 | 17 | 2012 |
| On the Bahadur representation of sample quantiles and order statistics for NA sequences SF Xu, L Ge, Y Miao Journal of the Korean Statistical Society 42, 1-7, 2013 | 16 | 2013 |
| Limit behaviors of the deviation between the sample quantiles and the quantile S Xu, Y Miao Filomat 25 (2), 197-206, 2011 | 15 | 2011 |
| Lp (p> 2)-strong convergence of an averaging principle for two-time-scales jump-diffusion stochastic differential equations J Xu, Y Miao Nonlinear Analysis: Hybrid Systems 18, 33-47, 2015 | 13 | 2015 |
| Moderate deviation principles for empirical covariance in the neighbourhood of the unit root Y Miao, Y Wang, G Yang Scandinavian Journal of Statistics 42 (1), 234-255, 2015 | 13 | 2015 |
| Convergence rate for LS estimator in simple linear EV regression models Y Miao Results in Mathematics 58 (1), 93-104, 2010 | 13 | 2010 |
Guangyu YangZhengzhou UniversityVerified email at zzu.edu.cn
