International Conference on Bayesian Modeling and Inference in Statistics
(ICBMIS - 26)

17th - 18th November 2026 Edinburgh, UK (Hybrid Event)

Call for Paper

The ICBMIS is committed to addressing global challenges through impactful research and sustainable solutions. It brings together researchers dedicated to advancing knowledge for societal benefit. Focusing on Statistics,Data Science, the conference promotes research aligned with global development goals and long-term sustainability. Authors are invited to submit papers addressing, but not limited to, the following areas:

  • Bayesian modeling techniques in statistics
  • Applications of Bayesian inference in research
  • Bayesian methods for hierarchical models
  • Statistical challenges in Bayesian analysis
  • Bayesian approaches to causal inference
  • Computational methods for Bayesian statistics
  • Bayesian statistics in clinical trials
  • Machine learning and Bayesian methods integration
  • Bayesian modeling of time series data
  • Statistical software for Bayesian analysis
  • Bayesian methods for missing data
  • Bayesian networks in statistical modeling
  • Applications of Bayesian methods in epidemiology
  • Bayesian approaches to meta-analysis
  • Statistical education in Bayesian statistics
  • Future trends in Bayesian research
  • Bayesian methods for spatial data analysis
  • Bayesian statistics in environmental studies
  • Ethics in Bayesian statistical research
  • Bayesian methods for decision making
Review & Publication

All submissions will be reviewed for their contribution to global impact and research quality. Accepted papers will be presented and considered for publication in reputed platforms.

Registration

Join participants from around the world by completing your registration and becoming part of a global research community.

Publication

Accepted papers will gain international exposure through conference presentations and publication opportunities.

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