The 2nd Int'l Conference on Statistics, Mathematical Modelling and Analysis (SMMA 2019)

Conference Date: July 19-21, 2019
Conference Venue: Guilin, China
Website: http://www.confjuly.org/conference/SMMA2019/
Online Registration System: http://www.confjuly.org/RegistrationSubmission/default.aspx?ConferenceID=1131

Invited Speakers

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

Publication and Presentation

Publication: Open access journal related to Applied Mathematics and Physics
Index: CNKI and Google Scholar 
Note: If you want to present your research results but do NOT wish to publish a paper, you may simply submit an Abstract to our Registration System.

Contact Us

Email: intelconf@163.com
Tel: +86 132 6470 2250
QQ: 3025797047
WeChat: 3025797047 

Conference Topics

Topics: The conference is soliciting state-of-the-art research papers in the following areas of interest: 

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