Aligned with
This conference contributes to global sustainability by aligning its research discussions and academic sessions with key United Nations Sustainable Development Goals.
This track focuses on the latest methodologies in Bayesian inference, emphasizing novel approaches to prior and posterio...
This session invites contributions that explore the application of Bayesian frameworks in statistical modeling across va...
This track highlights the development and application of Bayesian networks in complex systems. Participants are encourag...
This session will delve into the use of Monte Carlo methods for Bayesian analysis, focusing on advancements and practica...
This track examines the intersection of probabilistic inference and machine learning, highlighting Bayesian approaches t...
This session is dedicated to the exploration of Markov Chain Monte Carlo (MCMC) techniques in Bayesian statistics. Prese...
This track focuses on the integration of decision theory with Bayesian inference methods. Contributions that explore ris...
This session invites discussions on the development of computational algorithms for probabilistic modeling and inference...
This track focuses on simulation techniques used in Bayesian statistics, including their implementation and evaluation. ...
This session will explore the critical role of prior distribution selection in Bayesian analysis. Researchers are encour...
This track highlights emerging trends and future directions in Bayesian research across various fields. Participants are...