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With ongoing regional conflict and aviation warnings, this event may transition to virtual delivery only, prioritizing participant safety and accessibility.

Flex Conference (Physical / Digital)

International Conference on Bayesian Statistics and Computational Methods - (ICBSCOM-27)

13th - 14th January 2027 , Najaf - Iraq

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Call For Papers

The (ICBSCOM-27) 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 Probability Theory, 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:

  • Bayesian methods in statistical analysis
  • Applications of Bayesian statistics
  • Bayesian inference in complex models
  • Hierarchical models in Bayesian analysis
  • Bayesian networks and their applications
  • Machine learning with Bayesian approaches
  • Bayesian methods in epidemiology
  • Applications in finance and risk assessment
  • Bayesian statistics in social sciences
  • Bayesian model averaging techniques
  • Computational methods in Bayesian statistics
  • Bayesian approaches to time series analysis
  • Applications in environmental modeling
  • Bayesian statistics in healthcare research
  • Bayesian methods for causal inference
  • Applications in marketing analytics
  • Bayesian optimization techniques
  • Bayesian statistics in education research
  • Applications in sports analytics
  • Bayesian methods in big data analysis

Assessment

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.

Publication

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