International Conference on Applied Bayesian Statistics and Decision Analysis ICABSDA

Call For Papers

The ICABSDA 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 , encouraging applied research, case studies, and industry-driven innovations.

Authors are invited to submit papers addressing, but not limited to, the following areas:

Bayesian inference and its applications

Decision analysis in uncertain environments

Bayesian modeling for complex data

Hierarchical Bayesian models and applications

Bayesian methods in machine learning

Applications of Bayesian statistics in healthcare

Bayesian networks in decision making

Robustness in Bayesian analysis

Bayesian approaches to causal inference

Statistical decision theory advancements

Bayesian methods in environmental studies

Applications of Bayesian statistics in finance

Bayesian modeling for time series data

Ethics in Bayesian statistical research

Bayesian statistics in social sciences

Recent developments in Bayesian computation

Bayesian methods for experimental design

Applications of Bayesian statistics in marketing

Bayesian hierarchical modeling techniques

Future directions in Bayesian research

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