Hybrid Conferencee

International Conference on Mathematical Statistics and Actuarial Science (ICMSAS - 27)

1st - 2nd March 2027 | Macau, China

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Conference Notifications:

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Call for Papers Extended:
"The deadline for full paper submissions has been extended for the Research Plus International Conference in Macau. Submit your research by today to participate in one of the top conferences."
Certificate of Presentation:
"Present your research and receive a Certificate of Presentation to recognise your valuable contribution to the conference."
Abstract Submissions Open:
"Abstract submissions for the Macau event are now open! Don’t miss the chance to present your research. Submit now."
Networking with Global Experts:
"Engage with researchers and professionals from around the world at the Macau conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Macau, featuring global leaders and innovators sharing their knowledge."
Best Paper & Best Paper Presentation Award:
"Submit your paper and stand a chance to win the Best Paper Presentation Award. The winner will be recognized at the conference in Macau."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Call for Paper

The ICMSAS aims to explore emerging trends and future directions in research and innovation. It provides a collaborative platform for researchers and professionals to share ideas that shape the future of their respective domains.

The conference highlights advancements in Statistics, encouraging innovative, solution-oriented research that addresses global challenges and technological evolution.

Authors are invited to submit papers addressing, but not limited to, the following areas:

01
Statistical methods in actuarial science
02
Bayesian approaches in statistics
03
Risk assessment and management techniques
04
Statistical modeling for insurance data
05
Survival analysis in actuarial contexts
06
Nonparametric statistics applications
07
Statistical quality control methods
08
Data mining in actuarial practices
09
Predictive modeling for financial risks
10
Statistical education in actuarial fields
11
Advanced regression techniques in statistics
12
Time series analysis for actuaries
13
Statistical software for actuarial applications
14
Ethics in statistical practice
15
Statistical inference in insurance
16
Multivariate analysis in actuarial science
17
Statistical challenges in pension plans
18
Machine learning applications in actuarial science
19
Statistical analysis of health data
20
Emerging trends in actuarial research