Call for Papers
Special Issue on “Bayesian Networks: Parameter and Structure Learning with Their Real-World Applications for Decision Making”
A special issue of Mathematics (ISSN 2227-7390), Section D1: Probability and Statistics
Guest Editor:
Dr. Marta Pittavino (Ca’ Foscari University of Venice, Venice School of Management, Italy)
Dear Colleagues,
I am delighted to invite you to contribute to this Special Issue of Mathematics, dedicated to “Bayesian Networks: Parameter and Structure Learning with Their Real-World Applications for Decision Making.” This issue aims to showcase cutting-edge research and methodological innovations in the increasingly relevant domain of Bayesian Networks, with a particular focus on parameter learning, model fitting, and real-world decision-making applications.
We welcome contributions on a wide range of topics, including (but not limited to) additive and dynamic Bayesian Networks, prior distribution choices for parameter estimation, score functions, and the factorization of joint probabilities. Special emphasis will be placed on empirical applications and case studies that demonstrate the impact of Bayesian approaches on practical decision-making.
Our goal is to foster a vibrant interdisciplinary dialogue, bringing together researchers from academia and industry to explore new challenges and solutions in this evolving field.
We warmly encourage you to submit your latest findings and insights, helping to expand the frontiers of knowledge in Bayesian modeling and decision sciences. We hope this Special Issue will become a valuable reference point for scholars and practitioners alike.
Looking forward to your contributions and to a stimulating exchange of ideas!
Warm regards,
Dr. Marta Pittavino
Guest Editor
Keywords
Information on how to submit the paper is available here.
Deadline for the submissions: 10 September 2025!