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Call for Paper

The ICIMSTAT emphasizes interdisciplinary collaboration by bringing together experts from diverse fields. It encourages research that integrates multiple perspectives to address complex global challenges.

Key areas such as Mathematics,Insurance,Statistics are explored to promote cross-domain knowledge exchange and collaborative innovation.

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

01
Statistical methods in insurance research
02
Data analysis of risk assessment models
03
Actuarial statistics and modeling techniques
04
Statistical challenges in insurance data
05
Machine learning applications in insurance
06
Data visualization in insurance analytics
07
Statistical tools for claims analysis
08
Impact of statistics on underwriting processes
09
Statistical methods for premium pricing
10
Trends in insurance statistics research
11
Statistical ethics in insurance analysis
12
Statistical analysis of policyholder behavior
13
Data-driven decision making in insurance
14
Statistical techniques for loss forecasting
15
Bayesian methods in insurance modeling
16
Statistical analysis of fraud detection
17
Statistical methods for reinsurance analysis
18
Statistical literacy for insurance professionals
19
Statistical methods for insurance policy evaluation
20
Future trends in insurance statistics

All submissions will undergo peer review to ensure quality and interdisciplinary relevance.

Accepted papers will be presented and considered for publication in journals and conference proceedings.

Registration

Registering for the conference provides access to keynote sessions, technical presentations, and networking opportunities with global experts.

👉 Register Now

Publication

Publishing through the conference enhances the visibility of your research and connects your work with a broader academic audience.

👉 Submit Your Research Work

Event Highlights

  • Keynote sessions by experienced speakers
  • Technical paper presentations across multiple topics
  • Opportunities for academic and professional networking
  • Discussions on current research developments

Contact Us

    Have questions about submission, registration, or publication? We’re happy to help.

  • Email: [email protected]
  • Phone:+91 9940952512

We look forward to your participation and contribution to the ASPHER Conference.