Conference Description:

The 7th Int'l Conference on Probability and Stochastic Analysis (ICPSA_D 2021)
Conference Date: December 24-26, 2021
Conference Venue: Sanya, China
Website: https://www.seminarjan.org/conference/IC PSA_D2021/
Online Registration:
https://www.seminarjan.org/Registratio nSubmission/default.aspx?ConferenceID=14 39
Email Registration: [email protected]
The 7th Int'l Conference on Probability and Stochastic Analysis (ICPSA_D 2021) will be held on December 24-26, 2021 in Sanya, China. This Conference will cover issues on Probability and Stochastic Analysis. It dedicates to creating a stage for exchanging the latest research results and sharing the advanced research methods in related fields.

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 ([email protected])
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] ([email protected])
Tel: +86 15527426990
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:
Probability Theory / Theoretical Probability
Infinite Dimensional Analysis
Quantum Probability
Probability Distributions
Law of Large Numbers
Central Limit Theorem
Stochastic Processes
Measure-Valued Processes
Stochastic Networks
Large Deviation Theory
Stochastic Differential Equations
Stochastic Partial Differential Equations
Population and Evolutionary Models
Applied Stochastic Models
Stochastic Analysis
Hierarchical Mean-Field Analysis
Applications of Probability and Stochastics
Other Related Topics