International Conference on Bayesian Statistics and Decision Analysis ICBSDA

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

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

Registration

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

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Publication

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

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Hybrid Event