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苗雨

(河南師範大學副校長)

鎖定
苗雨,男,漢族,河南鶴壁人,中共黨員,博士,教授,博士生導師,畢業於武漢大學,獲博士學位。曾任河南師範大學數學與信息科學學院院長。
現任河南師範大學副校長。 [2] 
中文名
苗雨
畢業院校
河南師範大學
學    位
博士
職    稱
河南師範大學教授

苗雨人物履歷

1997.9-2001.6,河南師範大學,數學與信息科學學院,計算數學專業,獲學士學位. [1] 
2001.9-2007.6,武漢大學,數學與統計學院, 概率論與數理統計專業,獲碩士與博士學位.(導師:吳黎明教授)
2007.7-2009.12,河南師範大學,數學與信息科學學院,講師.
2010.1--, 河南師範大學,數學與信息科學學院,副教授.
現任河南師範大學副校長。 [2] 

苗雨職務任免

2024年,河南省政府決定,任命苗雨為河南師範大學副校長(試用期一年)。 [3] 

苗雨研究方向

研究領域:概率論與數理統計
研究方向:大偏差原理等極限理論;過程統計;不等式.

苗雨學術兼職

兼任中國數學會理事,河南省應用統計學會理事長,河南省數學會副理事長。 [2] 
美國數學評論評論員.
以下刊物編委:
Advances in Statistics (2013--)
Chinese Journal of Mathematics (2013--)
American Journal of Applied Mathematics and Statistics (2013--)
International Journal of Mathematical Sciences and Applications (2012--)

苗雨獲得榮譽

2010年, 榮獲“第十屆河南省青年科技獎”.
2010年, 被評為“河南省優秀青年科技專家”.
2011年, 被評為“新鄉市勞動模範”.
2011年, 被省高校工委, 省教育廳黨組授予“優秀共產黨員”稱號.
2012年, 榮獲“河南省青少年科技創新獎”.

苗雨在研項目

教育部新世紀優秀人才支持計劃,No.NCET-11-0945,2012.1--2014.12. (主持)
河南省科技創新傑出青年基金,2012.1--2014.12. (主持)
河南師範大學傑出青年人才培育計劃,2012.1--2014.12. (主持)
國家自然科學基金,“隨機過程統計中若干大偏差估計及偏差不等式的研究”,No.11001077,2011.1--2013.12. (主持)
河南省高校科技創新人才支持計劃,“隨機模型中若干大樣本問題的研究”,No.2011HASTIT011, 2011.1--2012.12. (主持)
河南省基礎與前沿技術研究項目,“擴散過程統計的大樣本性質”,No.112300410205, 2011.1--2013.12. (主持)
河南省高等學校青年骨幹教師資助計劃,No.2010GGJS-065, 2011.1--2013.12. (主持)
河南省教育廳自然科學基金,No.2009B110010,2009.1--2011.12. (主持)
國家自然科學基金,“擴散過程上的泛函不等式與Sturm-Liouville算子的一些相關問題”,No.10626041, 2007. (第一參與人)
河南省軟科學研究計劃項目,No.0613026000, 2006.4--2008.8. (第四參與人)

苗雨發表論文

被SCI/EI收錄的論文
  1. Miao Yu and Xu Shoufang, Almost sure convergence of weighted sums. Miskolc Math. Notes. 14 (2013), no. 1, 173--181. (SCI)
  2. Miao Yu, Xue Tianyu and Du Tian, The discounted Berry-Ess\'een analogue for autoregressive processes. Comm. Statist. Theory Methods. 42 (2013), no. 15, 2684--2693. (SCI)
  3. 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. (SCI)
  4. Miao Yu, Ge Li and Xu Shoufang, Central limit theorems for moving average processes. Lith. Math. J. 53 (2013), no. 1, 80–90. (SCI)
  5. 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. (SCI)
  6. 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. (SCI)
  7. Miao Yu, Hajek-Renyi inequality for dependent random variables in Hilbert space and applications. Rev. Un. Mat. Argentina. 53 (2012), no. 1, 101--112. (SCI)
  8. 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. (SCI)
  9. 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. (SCI)
  10. Miao Yu and Shen Luming, Convergence of iterates with errors of semicontractive mappings. J. Global Optim. 50 (2011), no. 2, 221--227. (SCI)
  11. Mu Jianyong and Miao Yu, Generalizing the Marshall's Inequality. Comm. Statist. Theory Methods. 40 (2011), no. 15, 2809--2817. (SCI)
  12. Miao Yu, The discounted large deviation principle for autoregressive processes. Comm. Statist. Theory Methods. 40 (2011), no. 14, 2455--2461. (SCI)
  13. 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. (SCI)
  14. Miao Yu and Mu Jianyong, Moderate deviations principle for products of sums of random variables. Sci. China Math. 54 (2011) , no. 4, 769--784. (SCI)
  15. Du Hongxia and Miao Yu, Several new Hardy-Hilbert inequalities. Filomat. 25 (2011), no. 3, 153--162. (SCI)
  16. Miao Yu and Yang Guangyu, The loglog law for LS estimator in simple linear EV regression models. Statistics. 45 (2011), no. 2, 155--162. (SCI)
  17. Xu Shoufang and Miao Yu, Limit behaviors of the deviation between the sample quantiles and the quantile. Filomat. 25 (2011), no. 2, 197--206. (SCI)
  18. 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. (SCI)
  19. 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. (SCI)
  20. 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. (SCI)
  21. 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. (SCI)
  22. Miao Yu, Convergence rate for LS estimator in simple linear EV regression models. Results Math. 58 (2010), no 1-2, 93--104. (SCI)
  23. Miao Yu, Concentration inequality of maximum likelihood estimator. Appl. Math. Lett. 23 (2010), no.10, 1305--1309. (SCI)
  24. Miao Yu, Asymptotic normality of autoregressive processes. Acta Appl. Math. 110 (2010), no.3, 1077--1085. (SCI)
  25. Yang Guangyu and Miao Yu, Moderate and large deviation estimate for the Markov-Binomial distribution. Acta Appl. Math. 110 (2010), no.2, 737--747. (SCI)
  26. Miao Yu and Chen Yingxia, Note on the moderate deviation principle of maximum likelihood estimator. Acta Appl. Math. 110 (2010), no.2, 863--869. (SCI)
  27. 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. (SCI)
  28. Miao Yu, Iterated limits and the moderate deviation for dependent variables. Acta Appl. Math. 109 (2010), no. 3, 1121--1129. (SCI)
  29. Miao Yu and Shen Si, Moderate deviation principle for autoregressive processes. J. Multivariate Anal. 100 (2009), 1952--1961. (SCI)
  30. 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. (SCI)
  31. Miao Yu, Large deviation principles for moving average processes of real stationary sequences. Acta Appl. Math. 106 (2009), no. 2, 177--184. (SCI)
  32. Miao Yu and Qi Feng, Several q-integral inequalities. J. Math. Inequal. 3 (2009), no. 1, 115--121. (SCI)
  33. Miao Yu, Note on the discrete Ostrowski-Grüss type inequality. J. Math. Inequal. 3 (2009), no. 1, 93--98. (SCI)
  34. 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. (SCI)
  35. 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. (SCI)
  36. Miao Yu and Liu Juanfang, Discrete results of Qi-type inequality. Bull. Korean Math. Soc. 46 (2009), no. 1, 125--134. (SCI)
  37. Miao Yu and Yang Guangyu, A moderate deviation principle for m-dependent random variables with unbounded m. Acta Appl. Math. 104 (2008), no. 2, 191--199. (SCI)
  38. Miao Yu and 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. (SCI)
  39. Miao Yu and Song Yisheng, Weak and strong convergence of a new scheme for two nonexpansive mappings in Hilbert space. Appl. Anal. 87 (2008), no. 5, 567--574. (SCI)
  40. 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. (SCI)
  41. Miao Yu, Concentration inequalities for semi-bounded martingales. ESAIM Probab. Stat. 12 (2008), 51--57. (EI)
  42. Miao Yu and Yang Guangyu, The law of the iterated logarithm for additive functionals of Markov chains. Statist. Probab. Lett. 78 (2008), no. 3, 265--270. (SCI)
  43. 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. (SCI)
參考資料