Registration summary
ConferenceICBNPR
ModeStandard / Physical
ParticipationListener
Registration fee$155.00
Bank charges (5.8%)$8.99
Total payable$163.99
Includes all bank processing charges — the amount above is exactly what will be charged.
Benefits of Registering as Listener
Access to Conference Sessions
Networking Opportunities
Certificate of Participation
Invitation Letter Support
Conference Kit / Materials
Access to Keynote Sessions
• Conference Session Tracks •
SDG-Aligned Research Themes
ICBNPR conference tracks support global knowledge exchange, innovation, and sustainable development priorities across diverse disciplines.
01 Advancements in Bayesian Networks +
This track focuses on the latest developments in Bayesian network methodologies and their applications. Researchers are encouraged to present novel algorithms and frameworks that enhance the efficiency and effectiveness of Bayesian inference.
02 Probabilistic Reasoning in Complex Systems +
This session explores the role of probabilistic reasoning in understanding and modeling complex systems. Contributions that demonstrate the integration of probabilistic models with real-world applications are particularly welcome.
03 Graphical Models: Theory and Applications +
This track highlights the theoretical foundations and practical applications of graphical models in various fields. Submissions that bridge the gap between theory and practice through case studies are encouraged.
04 Uncertainty Quantification Techniques +
This session addresses methods for quantifying uncertainty in statistical models and decision-making processes. Papers that propose innovative approaches to uncertainty analysis and their implications in real-world scenarios are sought.
05 Machine Learning and Bayesian Inference +
This track examines the intersection of machine learning and Bayesian inference, focusing on how Bayesian methods can enhance machine learning algorithms. Contributions that showcase practical implementations and theoretical insights are invited.
06 Statistical Modeling with Bayesian Approaches +
This session emphasizes the use of Bayesian approaches in statistical modeling across various disciplines. Researchers are encouraged to share their experiences and findings in applying Bayesian methods to complex datasets.
07 Probability Theory in Decision Support Systems +
This track investigates the application of probability theory in the development of decision support systems. Papers that explore the integration of probabilistic models in decision-making frameworks are particularly welcome.
08 Simulation Techniques in Probabilistic Reasoning +
This session focuses on simulation techniques used in probabilistic reasoning and Bayesian analysis. Contributions that highlight the effectiveness of simulation in enhancing model accuracy and reliability are encouraged.
09 Applied Probability in Industry +
This track explores the application of probability theory in various industrial contexts, including finance, healthcare, and engineering. Researchers are invited to present case studies that demonstrate the impact of probabilistic methods on industry practices.
10 Algorithms for Bayesian Inference +
This session is dedicated to the development and evaluation of algorithms for Bayesian inference. Papers that propose new algorithms or improve existing ones, along with their computational efficiency, are highly encouraged.
11 Research Frontiers in Bayesian Networks +
This track aims to identify and discuss emerging research frontiers in Bayesian networks and probabilistic reasoning. Contributions that propose innovative ideas or highlight future research directions are particularly welcome.
