The 4th Int'l Conference on Statistics, Mathematical Modelling and Analysis (SMMA 2021) 

Conference Date: May 29-31, 2021
Conference Venue: Guilin, China
Website: https://www.maymeeting.org/conference/SMMA2021/          
Online Registration:

Email Registration: wsconf5@163.com

The 4th Int'l Conference on Statistics, Mathematical Modelling and Analysis (SMMA 2021) will be held from May 29-31, 2021 in Guilin, China. SMMA 2021 will cover issues on Applied statistics, Data modeling and analysis, Design of simulation experiments, Statistical analysis system programming, Statistical applications, Statistical genetics, Statistics and mathematics education, etc. It dedicates to creating a stage for exchanging the latest research results and sharing the advanced research methods.

If you wish to serve the conference as an invited speaker, please send email to us with your CV. We'll contact with you asap. 

Publication and Presentation

Publication: All the accepted papers will be published by a peer-reviewed open access journal that can ensure the widest dissemination of your published work, for more information, please contact us (wsconf5@163.com)
 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: wsconf5@163.com (Seminar.Group@hotmail.com)
Tel: +86 13264702250
QQ: 1349406763 
WeChat: 3025797047
Twitter: conf_Committee

Attendance Methods

1. Submit full paper (Regular Attendance+Paper Publication+Presentation)
 You are welcome to submit full paper, all the accepted papers will be published by Open access journal.
 2. Submit abstract (Regular Attendance+Abstract+Presentation)
 3. Regular Attendance (No Submission Required)

Conference Topics

  • 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