The 5th Int'l Conference on Statistics, Mathematical Modelling and Analysis (SMMA 2022)

Conference Date: May 27-29, 2022
Conference Venue: Xi'an, China
Website: https://www.maymeeting.org/conference/SMMA2022/
Online Registration System: https://www.maymeeting.org/RegistrationSubmission/default.aspx?ConferenceID=1482
Email: [email protected]

The 5th Int'l Conference on Statistics, Mathematical Modelling and Analysis (SMMA 2022) will be held in Xi'an, China, during May 27-29, 2022. The aim of SMMA is to provide a stage for researchers, engineers, academicians as well as industrial professionals from all over the world to present their research results and development activities in Applied statistics, Data modeling and analysis, Design of simulation experiments, Statistical analysis system programming, Statistical applications, Statistical genetics, Statistics and mathematics education, etc. SMMA 2022 will be a valuable and important platform for inspiring international and interdisciplinary exchange at the forefront of Statistics, Mathematical Modelling and Analysis. 

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: Open Access Journal，please contact us for detailed information
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: [email protected]
Tel: +86 132 6470 2250 (From Monday to Friday)
QQ: 1349406763 
WeChat: 3025797047
Official Account: Academic Communications

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