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高猛

作者: 时间:2021-11-10 点击数:

 

姓名

高猛

性别

出生年月

198110

民族

政治面貌

中共党员

职称/职务

教授

毕业学校

兰州大学

学位

博士

专业

应用数学

研究方向

大数据挖掘与应用统计

通信地址

烟台市莱山区清泉路30

邮编

264005

联系电话

 

E-mail

gaomeng03@hotmail.com;   mgao@ytu.edu.cn

时 间

单位

经 历

1999.9-2008.12

兰州大学

学士,博士(硕博连读)

2007.10-2008.10

加拿大Alberta大学

访问学者

2009.1-2021.4

中科院烟台海岸带所

助理研究员、副研究员(岗位研究员)

2021.4至今

澳门十大信誉网赌大全

教授

 

 

 

 

《数理统计》,《非参数统计》,《统计软件》

 

 

 

 

 

累计主持国家级、省部级重点科研课题 7 项;

在研:山东省自然科学基金重点项目1项;

代表性科研论文:

(1) Gao et al. (2021) Associations of   atmospheric teleconnections with wintertime extratropical cyclones over East   Asia and Northwest Pacific. Climate Dynamics, 57: 2079–2092.

(2) Gao et al. (2019) SOM-based synoptic   analysis of atmospheric circulation patterns and temperature anomalies in   China. Atmospheric Research, 220:46-56.

(3) Gao M. and Zhang H. (2018) Particle   smoothing via Markov chain Monte Carlo in general state space models. International   Journal of Computing Science and Mathematics, 9: 181-188.

(4) Gao M. and Zheng H., (2018) Nonstationary   extreme value analysis of temperature extremes in China. Stochastic   Environmental Research ad Risk Assessment 32:1299–1315.

(5) Gao et al. (2018) Artificial neural   network model for ozone concentration estimation and Monte Carlo analysis. Atmospheric   Environment, 184: 129-139.

(6) Gao M., Franzke C.L.E (2017) Quantile   Regression–Based Spatiotemporal Analysis of Extreme Temperature Change in   China. Journal of Climate, 30: 9897-9914.

(7) Gao M. (2013) Detecting spatial   aggregation from distance sampling: A probability distribution model of   nearest neighbor distance. Ecological Research 28: 397-405.

(8) Gao M. and Zhang H. (2012) Sequential   Monte Carlo methods for parameter estimation in nonlinear state-space models.   Computers & Geosciences, 44: 70-77.

(9) Gao M. (2009) Continuous   Probabilistic Analysis to Evolutionary Game Dynamics in Finite Populations. Bulletin   of Mathematical Biology 71(5):1148-59.

(10) Gao M. and Li Z. (2006) Asymptotical   stability and spatial patterns of a spatial cyclic competitive system. Applied   Mathematics and Computation 183(2):1165-1169.











 

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