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Call For Papers

The ICBSDA bridges the gap between academia and industry by promoting research with practical applications. It provides a platform for professionals and researchers to share insights that drive real-world impact.

The conference focuses on Statistics,Data Science, encouraging applied research, case studies, and industry-driven innovations.

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

Evaluation

Submissions will be evaluated based on applicability, innovation, and research contribution. Accepted papers will be presented and considered for publication in relevant journals and proceedings.

Registration

Complete your registration to participate in discussions that bridge academia and industry, and gain exposure to practical insights.

Publication

Selected papers will be considered for publication platforms that support academic and industry collaboration.

Submit Your Paper Now Confirm Your Participation Today
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