International Conference on Bayesian Networks and Probabilistic Reasoning ICBNPR

Call For Papers

The ICBNPR 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 Probability Theory , encouraging applied research, case studies, and industry-driven innovations.

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

Bayesian networks in decision making

Probabilistic reasoning in AI systems

Applications of Bayesian inference

Graphical models and their applications

Bayesian methods in machine learning

Causal inference using Bayesian networks

Dynamic Bayesian networks applications

Bayesian approaches to data fusion

Probabilistic programming languages

Bayesian statistics in clinical trials

Applications in natural language processing

Bayesian methods for big data

Hierarchical Bayesian modeling techniques

Bayesian optimization in engineering

Uncertainty quantification in Bayesian analysis

Bayesian methods in environmental science

Ethical considerations in Bayesian research

Bayesian networks in social networks

Applications in financial forecasting

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