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.

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