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Event Type - Workshop

05 Jan 2021

07 Jan 2021

 

The 6th Intl Conference on Probability and Stochastic Analysis ICPSA 2021     (160 Views)     

Event Serial No.-  WLD180466
Website  
Contact Person - Rolin
Event inquiry /Organizer email address - editor_sarah@126.com
Deadline for abstracts/proposals: 2020-12-05
Organized by: Academic Communications View more Conference
Topic Covered: Statistics Mathematics ,
Venue:

Sanya,  Hainan,  China


About Event


The 6th Intl Conference on Probability and Stochastic Analysis ICPSA 2021 Conference Date: January 5-7, 2021 Conference Venue: Sanya, China Website: http:www.seminarjan.orgconferenceICPSA2021 Online Registration System: http:www.seminarjan.orgRegistrationSubmissiondefault.aspx?ConferenceID1318 Email: ic_vicky@163.com The 6th Intl Conference on Probability and Stochastic Analysis ICPSA 2021 will be held during January 5-7,2021 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. Well 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: ic_vicky@163.com Tel: 86 132 6470 2250 QQ: 1349406763 WeChat: 3025797047 Twitter: conf_Committee Attendance Methods 1.Submit full paper Regular AttendancePaper PublicationPresentation You are welcome to submit full paper, all the accepted papers will be published by Open access journal. 2. Submit abstract Regular AttendanceAbstractPresentation 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
 
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