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:

https://www.maymeeting.org/RegistrationSubmission/default.aspx?ConferenceID=1345

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