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International Conference on Bayesian Statistics and Decision Analysis - (ICBSDA-27)

2nd - 3rd June 2027 , Yokohama - Japan

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Call For Papers

The (ICBSDA-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 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:

  • Bayesian methods in decision making
  • Applications of Bayesian statistics
  • Bayesian inference for big data
  • Hierarchical models in Bayesian analysis
  • Bayesian networks for causal inference
  • Bayesian approaches to machine learning
  • Modeling uncertainty with Bayesian techniques
  • Bayesian statistics in healthcare research
  • Bayesian decision theory applications
  • Bayesian methods in environmental statistics
  • Bayesian modeling for time series data
  • Nonparametric Bayesian methods
  • Bayesian analysis of complex systems
  • Robust Bayesian methods for outliers
  • Bayesian statistics in social sciences
  • Bayesian optimization in engineering
  • Bayesian approaches to experimental design
  • Bayesian methods for financial modeling
  • Computational challenges in Bayesian analysis
  • Bayesian statistics in public policy

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.

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