ICPSA 2021 - The 6th Int'l Conference on Probability and Stochastic Analysis (ICPSA 2021)

Website http://www.seminarjan.org/conference/ICPSA2021/ | Edit Freely

Category Probability; Stochastic Analysis

Deadline: December 05, 2020 | Date: January 05, 2021-January 07, 2021

Venue/Country: Hainan, China

Updated: 2020-03-01 20:28:42 (GMT+9)

Call For Papers - CFP

Conference Date: January 5-7, 2021

Conference Venue: Sanya, China

Website: http://www.seminarjan.org/conference/ICPSA2021/

Online Registration System: http://www.seminarjan.org/RegistrationSubmission/default.aspx?ConferenceID=1318

Email: ic_vicky163.com

The 6th Int'l 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. 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: ic_vicky163.com

Tel: +86 132 6470 2250

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