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Call for Paper

The ICBMIS 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 Statistics, Data Science 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
Bayesian modeling techniques in statistics
02
Applications of Bayesian inference in research
03
Bayesian methods for hierarchical models
04
Statistical challenges in Bayesian analysis
05
Bayesian approaches to causal inference
06
Computational methods for Bayesian statistics
07
Bayesian statistics in clinical trials
08
Machine learning and Bayesian methods integration
09
Bayesian modeling of time series data
10
Statistical software for Bayesian analysis
11
Bayesian methods for missing data
12
Bayesian networks in statistical modeling
13
Applications of Bayesian methods in epidemiology
14
Bayesian approaches to meta-analysis
15
Statistical education in Bayesian statistics
16
Future trends in Bayesian research
17
Bayesian methods for spatial data analysis
18
Bayesian statistics in environmental studies
19
Ethics in Bayesian statistical research
20
Bayesian methods for decision making

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.