第二届统计、数学建模与分析学术研讨会(SMMA 2019)
The 2nd Int'l Conference on Statistics, Mathematical Modelling and Analysis (SMMA 2019)

大会时间: 2019年7月19-21日
大会地点: 桂林
大会官网: http://www.confjuly.org/conference/SMMA2019/
在线注册: http://www.confjuly.org/RegistrationSubmission/default.aspx?ConferenceID=1131

演讲嘉宾

Dr. Simon K.S. Cheung; The Open University of Hong Kong, China
Prof. Yilun Shang; Northumbria University, UK
Dr. Xin Zhang; Xidian University, China
Prof. Matania Ben-Artzi; Hebrew University of Jerusalem, Israel
Prof. Wanyang Dai; Nanjing University, China
Prof. David Laroze; Universidad de Tarapacá, Chile
Dr. Yong Wang; North China Electric Power University, China
Prof. Sanjoy Sinha; Carleton University, Canada
Dr. Huajiao Li; China University of Geosciences,Beijing, China
Prof. D.S. Hooda; GJU of Science & Technology, India
Prof. Quanxin Zhu; Hunan Normal University, China
Prof. Kai Liu; University of Liverpool, UK
Prof. Jin-Ting Zhang; National University of Singapore, Singapore
Prof. Manuel Molina; University of Extremadura, Spain
Prof. Jin Wang; Northern Arizona University, USA
Prof. Rama Shanker; Devendra Mishra Institute of Statistics, Patna, India

文章出版

出版物：Applied Mathematics and Physics 领域开源期刊 
检索类型：知网及谷歌学术收录
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大会议题

会议征稿范围包含但不限于以下领域： 

Actuarial science
Applied data mining and statistical learning
Applied Simulation
Applied statistics
Applied time series analysis
Biometrics and applied statistics
Biostatistics and bioinformatics
Data modeling and analysis
Design of simulation experiments
Econometrics
Financial mathematics
Geostatistics
Image, speech and video processing and analysis
Linear algebra and programming models
Mathematical modelling
Metamodelling and regression
Model verification and validation
Modeling and simulation
Modeling simulation inputs
Numerical analysis
Pattern recognition and analysis
Random processes
Real analysis and statistics
Sampling techniques
Satisfiability modulo theories
Sensitivity analysis
Singular perturbation theory
Smoothing and statistical graphics
Social science methodology
Statistical analysis system programming
Statistical applications
Statistical genetics
Statistics and mathematics education
Statistics for environments
Stochastic modelling