Due to COVID-19 epidemic situation all over the world, most countries still maintain a strict policy of no-gathering, no-entering and leaving the country, and 14-days quarantine. We have to postpone the conference till November 6-8, 2020 in Xiamen, China.

Int'l Conference on Statistics, Mathematical Modelling and Analysis (SMMA 2020)

Conference Date: November 6-8, 2020

Conference Venue: Xiamen, China

Website: http://www.maymeeting.org/conference/SMMA2020/

Online Registration System: http://www.maymeeting.org/RegistrationSubmission/default.aspx?ConferenceID=1229

Email: wsconf5@163.com

Int'l Conference on Statistics, Mathematical Modelling and Analysis (SMMA 2020) will be held from November 6-8, 2020 in Xiamen, China. SMMA 2020 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: 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: wsconf5@163.com

Tel: +86 132 6470 2250

QQ: 1349406763

WeChat: 3025797047

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