苗雨个人主页


	苗雨博士教授博士生导师
	单位：数学与信息科学学院职务：科技处处长邮箱：yumiao728@gmail.com 研究方向：概率论与数理统计
个人经历
1997.9--2001.6，河南师范大学，数学与信息科学学院，计算数学及其应用软件专业，获学士学位 2001.9--2007.6，武汉大学，数学与统计学院, 概率论与数理统计专业，获硕士与博士学位 2007.7--2010.4，河南师范大学，数学与信息科学学院，讲师 2010.4--2016.4，河南师范大学，数学与信息科学学院，副教授 2016.4--至今，河南师范大学，数学与信息科学学院，教授 2012.12-2016.4，河南师范大学，数学与信息科学学院，副院长 2016.4--2022.7，河南师范大学，数学与信息科学学院，院长 2022.7--至今，河南师范大学，科技处，处长
学术兼职
河南省应用统计学会理事长中国现场统计研究会经济与金融统计分会常务理事美国数学评论评论员河南省高等学校教学指导委员会统计学专业副主任委员河南省高等学校教学指导委员会数学专业副主任委员中国商业统计学会常务理事河南省数学会副理事长中国数学会理事
奖励荣誉
2010年，荣获“第十届河南省青年科技奖” 2010年，被评为“河南省优秀青年科技专家” 2011年，被评为“新乡市劳动模范” 2011年，被省高校工委, 省教育厅党组授予“优秀共产党员”称号 2011年，入选河南省高校科技创新人才支持计划 2012年，被中共河南省委授予“优秀共产党员”称号 2012年，入选教育部新世纪优秀人才支持计划 2012年，入选河南省科技创新杰出青年基金支持计划 2013年，荣获“河南省优秀硕士学位点论文指导教师”称号 2013年，荣获“河南省青少年科技创新奖” 2018年，荣获“河南省优秀硕士学位点论文指导教师”称号 2022年，荣获“河南省优秀硕士学位点论文指导教师”称号
科研项目
国家自然科学基金，“随机迭代模型中若干统计问题的大样本理论”，No.NSFC(11971154)，2020.1--2023.12. 河南省高校科技创新团队，“应用概率统计”，IRTSTHN (14IRTSTHN023)，2014.1--2016.12. 国家自然科学基金，“扩散过程离散化形式下的若干统计问题的大偏差原理”，No. NSFC(11471104)，2015.1--2018.12. 教育部新世纪优秀人才支持计划，“过程统计中大偏差问题的研究”，No. NCET-11-0945，2012.1--2014.12. 河南省科技创新杰出青年基金，“统计模型中大偏差的研究”，No.124100510014，2012.1--2014.12. 河南师范大学杰出青年人才培育计划，2012.1--2014.12. 国家自然科学基金，“随机过程统计中若干大偏差估计及偏差不等式的研究”，No.11001077，2011.1--2013.12. 河南省高校科技创新人才支持计划，“随机模型中若干大样本问题的研究”，No.2011HASTIT011，2011.1--2012.12. 河南省基础与前沿技术研究项目，“扩散过程统计的大样本性质”，No.112300410205，2011.1--2013.12. 河南省高等学校青年骨干教师资助计划，No.2010GGJS-065，2011.1--2013.12. 河南省教育厅自然科学基金，No.2009B110010，2009.1--2011.12.
论文著作
2024 Miao, Yu; Li, Deli; A general logarithmic asymptotic behavior for partial sums of i.i.d. random variables. Statist. Probab. Lett. 208 (2024), Paper No. 110043, 11 pp. Yin, Qing; Miao, Yu; Wang, Zhen; Yang Guangyu; Moderate deviation principle of modularity in network. Metrika, 87 (2024), no. 3, 281-298. Liu, Chang; Miao Yu; Complete convergence for weighted sums of random variables satisfying generalized Rosenthal-type inequalities. Lith. Math. J. 64 (2024), no. 1, 18-33. Miao, Yu; Yin, Qing; Cramér’s moderate deviations for the LS estimator of the autoregressive processes in the neighborhood of the unit root. Statist. Probab. Lett. 209 (2024), Paper No. 110093, 8 pp. Wang, Jixia; Sun, Lu; Miao, Yu; Asymptotic behavior of weighted quadratic variation of tempered fractional Brownian motion. Statist. Probab. Lett. 207 (2024), Paper No. 110020, 7 pp. 2023 Miao, Yu; Ye, Jun; Zhang, Wanyu Integrated square error of nonparametric estimators of regression function. Filomat 37 (2023), no. 27, 9391–9400. Chang, Mengmeng; Miao, Yu On the complete convergence of martingale. Math. Pannon. (N. S.) 29 (2023), no. 1, 111–119. Chang, M.; Miao, Y. Weak law of large numbers and complete convergence for general dependent sequences. Acta Math. Hungar. 169 (2023), no. 2, 469–488. Miao, Yu; Shao, Mengying Complete convergence of weighted sums of martingale differences and statistical applications. Bull. Malays. Math. Sci. Soc. 46 (2023), no. 4, Paper No. 116, 19 pp. Du, Menghuan; Miao, Yu Strong laws for weighted sums of some dependent random variables and applications. Filomat 37 (2023), no. 18, 6161–6176. Miao, Yu; Yin, Qing Limit behaviors for a heavy-tailed β-mixing random sequence. Lith. Math. J. 63 (2023), no. 1, 92–103. Chang, Mengmeng; Miao, Yu; Generalized weak laws of large numbers in Hilbert spaces. Statist. Probab. Lett. 197 (2023), Paper No. 109830, 10 pp. Miao, Yu; Tang, Yanyan Large deviation inequalities of Bayesian estimator in nonlinear regression models. Stat. Inference Stoch. Process. 26 (2023), no. 1, 171–191. Miao, Yu; Yin, Qing; Wang, Zhen Number of cells containing a given number of particles in a generalized allocation scheme. Math. Slovaca 73 (2023), no. 1, 205–220. 2022 Miao, Yu; Tang, Yanyan; Qu, Xiaoming; Yang, Guangyu On some limit properties for the power series distribution. Translation of Diskret. Mat. 34 (2022), no. 1, 88–102. Discrete Math. Appl. 32 (2022), no. 3, 193–205. Miao, Y.; Shi, J.; Yu, Z. On the complete convergence and strong law for dependent random variables with general moment conditions. Acta Math. Hungar. 168 (2022), no. 2, 425–442. Miao, Yu; Zhen, Yuhang; Asymptotic properties of LS estimator in nonlinear functional EV models. Comm. Statist. Theory Methods 51 (2022), no. 21, 7575–7606. Miao, Yu; Du, Qian; Wang, Zhen Some limit theorems for the cell load in the generalized allocation scheme. Lith. Math. J. 62 (2022), no. 3, 372–390. Miao, Y.; Qu, X. M.; Yang, G. Y. Extrema of the generalized allocation scheme based on an m-dependent sequence. Teor. Veroyatn. Primen. 67 (2022), 351–364. Theory Probab. Appl. 67 (2022), no. 2, 282–293. Li, Deli; Miao, Yu; Stoica, George; A general large deviation result for partial sums of i.i.d. super-heavy tailed random variables. Statist. Probab. Lett. 184 (2022), Paper No. 109371, 10 pp. 2021 Miao, Yu; Ma, Mengyao Some limit behavior for linear combinations of order statistics. Kybernetika (Prague) 57 (2021), no. 6, 970–988. Miao, Yu; Qi, Yongcheng Limiting spectral radii of circular unitary matrices under light truncation. J. Theoret. Probab. 34 (2021), no. 4, 2145–2165. Li, Deli; Miao, Yu A supplement to the laws of large numbers and the large deviations. Stochastics 93 (2021), no. 8, 1261–1280. Xu, Jie; Liu, Juanfang; Liu, Jicheng; Miao, Yu Strong averaging principle for two-time-scale stochastic McKean-Vlasov equations. Appl. Math. Optim. 84 (2021), suppl. 1, S837–S867. Miao, Yu Some generalized Qi-type inequalities. Tbilisi Math. J. 14 (2021), no. 2, 51–58. Liu, Juanfang; Miao, Yu; Mu, Jianyong; Xu, Jie Homeomorphism flows for SDEs driven by G-Brownian motion with non-Lipschitz coefficients. Stoch. Dyn. 21 (2021), no. 2, Paper No. 2150006, 18 pp. Miao, Yu; Tang, Yanyan Large deviation inequalities of LS estimator in nonlinear regression models. Statist. Probab. Lett. 168 (2021), Paper No. 108930, 11 pp. 2020 Miao, Yu; Ma, Huan-huan Limit behaviors for dependent Bernoulli variables. Appl. Math. J. Chinese Univ. Ser. B 35 (2020), no. 4, 399–409 Miao, Yu; Gao, Qinghui; Mu, Jianyong; Deng, Conghui Moderate deviation and large deviation for Wegman-Davies recursive density estimators. Probab. Math. Statist. 40 (2020), no. 1, 83–95. Miao, Yu; Ma, Huanhuan; Yang, Qinglong Asymptotic behaviors for correlated Bernoulli model. Probab. Engrg. Inform. Sci. 34 (2020), no. 4, 570–582. Ma, Huanhuan; Sun, Yan; Miao, Yu Some extensions of the classical law of large numbers. Comm. Statist. Theory Methods 49 (2020), no. 13, 3228–3237. Miao, Yu; Mu, Jianyong; Zhang, Shuili Limit theorems for identically distributed martingale difference. Comm. Statist. Theory Methods 49 (2020), no. 6, 1435–1445. Ma, Fuqiang; Miao, Yu; Mu, Jianyong A note on the weak law of large numbers of Kolmogorov and Feller. Proc. Indian Acad. Sci. Math. Sci. 130 (2020), no. 1, Paper No. 4, 13 pp. 2019 Xu, Shoufang; Mei, Changlin; Miao, Yu Limit theorems for ratios of order statistics from uniform distributions. J. Inequal. Appl. 2019, Paper No. 303, 14 pp. Miao, Yu; Gao, Qinghui; Zhang, Shuili Asymptotic distribution with random indices for linear processes. Filomat 33 (2019), no. 12, 3925–3935. Miao, Yu; Ma, Huanhuan; Xu, Shoufang; Adler, Andre Complete convergence for arrays of ratios of order statistics. Open Math. 17 (2019), no. 1, 439–451. Miao, Yu; Xu, Xiaoyan A note on the almost sure central limit theorem for the product of partial sums of m-dependent random variables. Comm. Statist. Theory Methods 48 (2019), no. 9, 2102–2112. Zhang, Shui-Li; Miao, Yu; Qu, Cong Sufficient and necessary conditions of convergence for ρ~-mixing random variables. Open Math. 17 (2019), no. 1, 452–464. 2018 Zhang, Shuili; Miao, Yu; Xu, Xiaoyan; Gao, Qinghui Limit behaviors of the estimator of nonparametric regression model based on martingale difference errors. J. Korean Statist. Soc. 47 (2018), no. 4, 537–547. Xu, Jie; Liu, Jicheng; Miao, Yu Strong averaging principle for two-time-scale SDEs with non-Lipschitz coefficients. J. Math. Anal. Appl. 468 (2018), no. 1, 116–140. Miao, Yu; Dong, Manru Asymptotic behavior for the Robbins-Monro process. J. Appl. Probab. 55 (2018), no. 2, 559–570. Miao, Yu; Zhu, Jianan; Mu, Jianyong Moderate deviation principle for m-dependent random variables. Lith. Math. J. 58 (2018), no. 1, 54–68. 2017 Miao, Yu; Xu, Xiaoyan Almost sure central limit theorems for m-dependent random variables. Filomat 31 (2017), no. 18, 5581–5590. Zhang, Lin; Miao, Yu; Mu, Jianyong; Xu, Jie Complete convergence for weighted sums of mixingale sequences and statistical applications. Comm. Statist. Theory Methods 46 (2017), no. 21, 10692–10701. Xu, Shou-Fang; Miao, Yu Some limit theorems for ratios of order statistics from uniform random variables. J. Inequal. Appl. 2017, Paper No. 295, 18 pp. Miao, Yu; Mu, Jianyong; Zhao, Jinghuan; Nadarajah, Saralees Large and moderate deviation principles for the bootstrap sample quantile. J. Korean Statist. Soc. 46 (2017), no. 4, 573–582. Miao, Yu; Mu, Jianyong; Xu, Jie An analogue for Marcinkiewicz-Zygmund strong law of negatively associated random variables. Rev. R. Acad. Cienc. Exactas Fís. Nat. Ser. A Mat. RACSAM 111 (2017), no. 3, 697–705. Ge, Li; Liu, Sanyang; Miao, Yu Complete convergence for weighted sums of pairwise independent random variables. Open Math. 15 (2017), no. 1, 467–476. 2016 Chen, Ying-Xia; Miao, Yu Moderate deviations of marginal maximum likelihood estimator for m-dependent processes. Lith. Math. J. 56 (2016), no. 4, 449–462. Xu, Jie; Miao, Yu; Liu, Jicheng Strong averaging principle for two-time-scale non-autonomous stochastic FitzHugh-Nagumo system with jumps. J. Math. Phys. 57 (2016), no. 9, 092704, 21 pp. Zhao, Jinghuan; Sun, Yan; Miao, Yu On the complete convergence for weighted sums of a class of random variables. J. Inequal. Appl. 2016, Paper No. 218, 12 pp. Miao, Yu; Sun, Yan; Wang, Rujun; Dong, Manru Various limit theorems for ratios from the uniform distribution. Open Math. 14 (2016), no. 1, 393–403. Miao, Yu; Geng, Wei-Qiang; Nadarajah, Saralees Invariance principles and almost sure central limit theorem for the error variance estimator in linear models. Comm. Statist. Theory Methods 45 (2016), no. 11, 3223–3235. Miao, Yu; Wang, Rujun; Adler, Andre Limit theorems for order statistics from exponentials. Statist. Probab. Lett. 110 (2016), 51–57. Hoffmann-Jørgensen, Jørgen; Miao, Yu; Li, Xiao Chun; Xu, Shou Fang Kolmogorov type law of the logarithm for arrays. J. Theoret. Probab. 29 (2016), no. 1, 32–47. Xu, Jie; Miao, Yu; Liu, Jicheng Quasi-sure functional limit theorem for increments of a fractional Brownian sheet in Hölder norm. Comm. Statist. Theory Methods 45 (2016), no. 5, 1564–1574. Xu, Jie; Miao, Yu; Liu, Jicheng A note on strong convergence rate in averaging principle for stochastic FitzHugh-Nagumo system with two time-scales. Stoch. Anal. Appl. 34 (2016), no. 1, 178–181. 2015 Huang, Guangyue; Guo, Xin; Du, Hongxia; He, Yi; Miao, Yu Exponential inequalities for bounded random variables. Math. Slovaca 65 (2015), no. 6, 1557–1570. Xu, Jie; Miao, Yu; Liu, Jicheng Strong averaging principle for slow-fast SPDEs with Poisson random measures. Discrete Contin. Dyn. Syst. Ser. B 20 (2015), no. 7, 2233–2256. Wang, Zhen; Shen, Luming; Miao, Yu; Chen, Shanshan; Xu, Wenfei PAC-Bayesian inequalities of some random variables sequences. J. Inequal. Appl. 2015, 2015:244, 8 pp. Xu, Jie; Miao, Yu Lp (p>2)-strong convergence of an averaging principle for two-time-scales jump-diffusion stochastic differential equations. Nonlinear Anal. Hybrid Syst. 18 (2015), 33–47. Zhang, Shui-Li; Qu, Cong; Miao, Yu On the complete convergence for pairwise negatively quadrant dependent random variables. J. Inequal. Appl. 2015, 2015:213, 11 pp. Yao, Suxia; Miao, Yu; Nadarajah, Saralees Exponential convergence for the k-th order statistics. Filomat 29 (2015), no. 5, 977–984. Miao, Yu; Mu, Jian-Yong A note on the exponential inequality for negatively associated random variables. Bull. Belg. Math. Soc. Simon Stevin 22 (2015), no. 1, 77–88. Wang, Zhen; Mu, Jianyong; Miao, Yu Some convergence theorems for RM algorithm. Statist. Probab. Lett. 99 (2015), 54–60. Miao, Yu; Wang, Yanling; Yang, Guangyu Moderate deviation principles for empirical covariance in the neighbourhood of the unit root. Scand. J. Stat. 42 (2015), no. 1, 234–255. Miao, Yu; Yang, Guangyu; Stoica, George On the rate of convergence in the strong law of large numbers for martingales. Stochastics 87 (2015), no. 2, 185–198. Miao, Yu; Wang, Yanling; Zheng, Haojiang Consistency of LS estimators in the EV regression model with martingale difference errors. Statistics 49 (2015), no. 1, 104–118. 2014 Jiang, Yiwen; Lemle, Ludovic Dan; Miao, Yu; Pater, Flavius On a class of Dirichlet operators on a Riemannian manifold. An. Univ. Oradea Fasc. Mat. 21 (2014), no. 2, 177-179. Xu, ShouFang; Miao, Yu Uniform moderate deviation of sample quantiles and order statistics. Bull. Korean Math. Soc. 51 (2014), no. 5, 1399–1409. Miao, Yu; Geng, Weiqiang; Li, Nan; Xiao, Qing Moderate deviation principle for the error variance estimator in linear models. Comm. Statist. Theory Methods 43 (2014), no. 19, 4215–4222. Miao Yu, Xu Wenfei, Chen Shanshan and Andre Adler, Some limit theorems of negatively associated random variables.Proc. Indian Acad. Sci. Math. Sci., 124 (2014), no. 3, 447--456. Chen Shanshan, Wang Zhenping, Xu Wenfei and Miao Yu, Exponential inequalities for self-normalized martingales. J. Inequal. Applications, (2014), 289. Miao Yu, Wang Yanling, Moderate deviation principle for maximum likelihood estimator. Statistics. 48 (2014), no. 4, 766--777. Miao Yu, Li Nan, Geng Weiqiang and Zhang Yaohua, Some limit behaviors for linear EV model with replicate observations. Comm. Statist. Theory Methods. 43 (2014), 3170--3185. Xu Shoufang and Miao Yu, Almost sure convergence of weighted sums for negatively associated random variables. Comm. Statist. Theory Methods. 43 (2014), 2581--2594. Li Xiaochun, Miao Yu and Zhang Xiaoman, Note on the strong convergence of a weighted sum. J. Inequal. Applications, (2014), 179. 2013 Miao,Yu,WangYanling and Ma Xinwen, Some limit results for Pareto random variables. Comm. Statist. Theory Methods. 42(2013), no.24, 4384--4391. Miao Yu and Xu Shoufang, Almost sure convergence of weighted sums. Miskolc Math. Notes. 14 (2013), no. 1, 73--181. Miao Yu, Ge Li and Peng Ang, Bounds for the weighted Gini mean difference of an empirical distribution. J. Math. Inequal. 7 (2013), no. 4, 773--783. Miao Yu, Xue Tianyu and DuTian, The discounted Berry-Esseen analogue for autoregressive processes. Comm. Statist. Theory Methods. 42 (2013), no. 15, 2684--2693. Yang Guangyu, Miao Yu and Zhang Xiaocai, An invariance principle for the law of the iterated logarithm for vector-valued additive functionals of Markov chains. Math. Commun. 18 (2013), no. 1, 79--86. Miao Yu, Ge Li and Xu Shoufang, Central limit theorems for moving average processes. Lith. Math. J. 53 (2013), no. 1, 80–90. Miao Yu, Zhao Fangfang, Wang Ke and Chen Yanping, Asymptotic normality and consistency of LS estimators in the EV regression model with NA errors. Statist. Papers. 54 (2013), no. 1, 193--206. Xu Shoufang, Ge Li and Miao Yu, On the Bahadur representation of sample quantiles and order statistics for NA sequences. J. Korean Statist. Soc. 42 (2013), no. 1, 1--7. Miao, Yu; Han, Fei; Mu, Jianyong A new Ostrowski-Grüss type inequality. Kragujevac J. Math. 37 (2013), no. 2, 307–317. 2012 Miao Yu, Hajek-Renyi inequality for dependent random variables in Hilbert space and applications. Rev. Un. Mat. Argentina. 53 (2012), no. 1, 101--112. Miao Yu, Xue Tianyu, Wang Ke and Fangfang Zhao, Large deviations for dependent heavy tailed random variables. J. Korean Statist. Soc. 41 (2012), no. 2, 235--245. Miao, Yu A note on asymptotic distribution of products of weighted sums. J. Dyn. Syst. Geom. Theor. 10 (2012), no. 2, 99–105. Wang, Ji-xia; Miao, Yu Bivariate generalized Weibull distribution model. J. Math. (Wuhan) 32 (2012), no. 4, 637–643. Miao, Yu; Xu, Shoufang; Peng, Ang Almost sure central limit theorem of sample quantiles. Adv. Decis. Sci. 2012, Art. ID 671942, 7 pp. 2011 Miao Yu, Zhao Fangfang and Wang Ke, Central limit theorems for LS estimators in the EV regression model with dependent measurements. J. Korean Statist. Soc. 40 (2011), no. 3, 303--312. Miao Yu and Shen Luming, Convergence of iterates with errors of semicontractive mappings. J. Global Optim. 50 (2011), no. 2, 221--227. Mu Jianyong and Miao Yu, Generalizing the Marshall's Inequality. Comm. Statist. Theory Methods. 40 (2011), no. 15, 2809--2817. Miao Yu, The discounted large deviation principle for autoregressive processes. Comm. Statist. Theory Methods. 40 (2011), no. 14, 2455--2461. Miao Yu and Chen Yingxia, Some limit theorems of survival function estimator for m-dependent processes. Comm. Statist. Theory Methods. 40 (2011), no. 12, 2193--2204. Miao Yu and Mu Jianyong, Moderate deviations principle for products of sums of random variables. Sci. China Math. 54 (2011), no. 4, 769--784. Du Hongxia and Miao Yu, Several new Hardy-Hilbert inequalities. Filomat. 25 (2011), no. 3, 153--162. Miao Yu and Yang Guangyu, The loglog law for LS estimator in simple linear EV regression models. Statistics. 45 (2011), no. 2, 155--162. Xu Shoufang and Miao Yu, Limit behaviors of the deviation between the sample quantiles and the quantile. Filomat. 25 (2011), no. 2, 197--206. Miao Yu, Wang Ke and Zhao Fangfang, On the survival function estimator for m-dependent processes. Pakistan J. Statist. 27 (2011), no. 1, 75--79. Miao Yu, Chen Yingxia and Xu Shoufang, Asymptotic properties of the deviation between order statistics and p-quantile. Comm. Statist. Theory Methods. 40 (2011), no. 1, 8--14. Miao Yu, Wang Ke and Zhao Fangfang, Some limit behaviors for the LS estimator in simple linear EV regression models. Statist. Probab. Lett. 81 (2011), no. 1, 92--102. Miao Yu, Yang Guangyu and Mu Jianyong, Minimum Lp norm estimate for simple linear regressive model. Comm. Statist. Theory Methods. 40 (2011), no. 4, 571--580. 2010 Miao Yu, Convergence rate for LS estimator in simple linear EV regression models. Results Math. 58 (2010), no 1-2, 93--104. Miao Yu, Concentration inequality of maximum likelihood estimator. Appl. Math. Lett. 23 (2010), no.10, 1305--1309. Miao Yu, Asymptotic normality of autoregressive processes. Acta Appl. Math. 110 (2010), no.3, 1077--1085. Yang Guangyu and Miao Yu, Moderate and large deviation estimate for the Markov-Binomial distribution. Acta Appl. Math. 110 (2010), no.2, 737--747. Miao Yu and Chen Yingxia, Note on the moderate deviation principle of maximum likelihood estimator. Acta Appl. Math. 110 (2010), no.2, 863--869. Zhang Zhengliang and Miao Yu, An equivalent condition between Poincare inequality and T_2-transportation cost inequality. Acta Appl. Math.110 (2010), no.1, 39--46. Miao Yu, Iterated limits and the moderate deviation for dependent variables. Acta Appl. Math. 109 (2010), no. 3, 1121--1129. 2009 Miao Yu and Shen Si, Moderate deviation principle for autoregressive processes. J. Multivariate Anal. 100 (2009), 1952--1961. Miao Yu and Liu Wen-an, Moderate deviation for LS estimator in simple linear EV regression models. J. Statist. Plann. Inference. 139 (2009), no. 9, 3122--3131. Miao Yu, Large deviation principles for moving average processes of real stationary sequences. Acta Appl. Math. 106 (2009), no. 2, 177--184. Miao Yu and Qi Feng, Several q-integral inequalities. J. Math. Inequal. 3 (2009), no. 1, 115--121. Miao Yu, Note on the discrete Ostrowski-Grüss type inequality. J. Math. Inequal. 3 (2009), no. 1, 93--98. Miao Yu, Jiang Yiwen and Shen Si, Deviation inequalities for the estimator of linear parameter in stochastic processes. Comm. Statist. Theory Methods 38 (2009), no. 6, 888--901. Miao Yu and Yang Guangyu, Moderate Deviations of L_1-Error of Empirical Measures on Partitions. Appl. Math. Lett. 22(2009), no. 5, 782--786. Miao Yu and Liu Juanfang, Discrete results of Qi-type inequality. Bull. Korean Math. Soc. 46 (2009), no. 1, 125--134. 2008 Miao, Yu; Peng, Gao-Hui Weak and strong convergence of a scheme on Mann iteration for continuous pseudo-contractive mappings. East J. Approx. 14 (2008), no. 4, 377–387. Miao, Yu; Li, Junfen Further development of an open problem. JIPAM. J. Inequal. Pure Appl. Math. 9 (2008), no. 4, Article 108, 7 pp. Shang, Hao; Miao, Yu; Li, Biao Asymptotic normality of the Bayes estimator in fractional Brownian motion model. J. Math. (Wuhan) 28 (2008), no. 5, 499–502. Miao, Yu; Shen, Luming Some general Ostrowski-Grüss type inequalities. Acta Math. Acad. Paedagog. Nyházi. (N.S.) 24 (2008), no. 2, 243–248. Miao, Yu; Li, Junfen Weak and strong convergence of an iterative method for nonexpansive mappings in Hilbert spaces. Appl. Anal. Discrete Math. 2 (2008), no. 2, 197–204. Miao, Yu; Ren, Weiyin; Ren, Zongxiu On the fractional mixed fractional Brownian motion. Appl. Math. Sci. (Ruse) 2 (2008), no. 33-36, 1729–1738. Miao, Yu; Yang, Guangyu A moderate deviation principle for m-dependent random variables with unbounded m. Acta Appl. Math. 104 (2008), no. 2, 191–199. Miao, Yu; Wang, Jixia Large deviation inequalities for MLE and Bayes estimator in SDE with fractional Brownian motion. J. Math. (Wuhan) 28 (2008), no. 4, 355–361. Miao, Yu; Zhang, Zheng Liang; Jiang, Yi Wen Moderate deviation of R/S statistics. (Chinese) Chinese Ann. Math. Ser. A 29 (2008), no. 2, 221–230. Miao, Yu Central limit theorem and almost sure central limit theorem for the product of some partial sums. Proc. Indian Acad. Sci. Math. Sci. 118 (2008), no. 2, 289–294. Miao, Yu; Song, Yisheng Weak and strong convergence of a new scheme for two non-expansive mappings in Hilbert spaces. Appl. Anal. 87 (2008), no. 5, 567–574. Miao, Yu; Liu, Li-Min; Qi, Feng Refinements of inequalities between the sum of squares and the exponential of sum of a nonnegative sequence. JIPAM. J. Inequal. Pure Appl. Math. 9 (2008), no. 2, Article 53, 5 pp. Miao, Yu; Khan, Safeer Hussain Strong convergence of an implicit iterative algorithm in Hilbert spaces. Commun. Math. Anal. 4 (2008), no. 2, 54–60. Miao, Yu; Liu, Juanfang On the extended upper bound for the deviations from the mean value. East J. Approx. 14 (2008), no. 1, 53–58. Miao, Yu; Yang, Guangyu The law of the iterated logarithm for additive functionals of Markov chains. Statist. Probab. Lett. 78 (2008), no. 3, 265–270. Miao, Yu Concentration inequalities for semi-bounded martingales. ESAIM Probab. Stat. 12 (2008), 51–57. 2007 Miao Yu, Yang Guangyu and Shen Luming, The central limit theorem for LS estimator in simple linear EV regression models. Comm. Statist. Theory Methods 36 (2007), no. 12, 2263--2272. Miao, Yu; Yang, Guangyu A note on the upper bounds for the dispersion. JIPAM. J. Inequal. Pure Appl. Math. 8 (2007), no. 3, Article 83, 6 pp. Yin, Xiao Hong; Miao, Yu; Yang, Qing Long The estimate of regression function in a nonparametric regression model based on exponential martingale difference. (Chinese) J. Math. (Wuhan) 27 (2007), no. 3, 279–284. Miao, Yu A modification of Mann's iteration scheme. East J. Approx. 13 (2007), no. 2, 211–221 Shen, Lu-Ming; Zou, Rui-Biao; Miao, Yu Alternating Lüroth expansions over the field of formal Laurent series. East J. Approx. 13 (2007), no. 2, 123–134. 2006 Miao, Yu A note on the martingale inequality. JIPAM. J. Inequal. Pure Appl. Math. 7 (2006), no. 5, Article 187, 7 pp. Miao, Yu Further development of Qi-type integral inequality. JIPAM. J. Inequal. Pure Appl. Math. 7 (2006), no. 4, Article 144, 8 pp. 2005 Li, Guangfei; Miao, Yu; Peng, Huiming; Wu, Liming Poincaré and log-Sobolev inequality for stationary Gaussian processes and moving average processes. Ann. Math. Blaise Pascal 12 (2005), no. 2, 231–243. Miao, Yu Lower bound of moderate deviation for the Bayesian estimator. J. Math. (Wuhan) 25 (2005), no. 4, 358–360.

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