Bayesian Networks: Parameter and Structure Learning with Their Real-World Applications for Decision Making
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "Probability and Statistics".
Deadline for manuscript submissions: 1 April 2025 | Viewed by 56
Special Issue Editor
Interests: additive Bayesian networks and Bayesian hierarchical models applied to epidemiological studies; choice of suitable priors; statistical data analysis; regression models; forecasting methods
Special Issue Information
Dear Colleagues,
I am pleased to warmly welcome invite you to contribute to this Special Issue of Mathematics, centering on "Bayesian Networks: Parameter and Structure Learning with Their Real-World Applications for Decision Making". The primary aim of this Special Issue is to feature advanced research and innovative advancements in the dynamic field of Bayesian Networks. It underscores the increasing significance of parameter learning and model fitting as pivotal components and presents practical applications for decision making.
Within this Special Issue, we will delve into an extensive array of subjects, including but not limited to additive and dynamic Bayesian Networks. The emphasis will be on the choice of the prior distribution for parameter learning, different score functions for model fitting, the related factorization of the joint probability and their application of real-world case studies for decision making.
My objective is to unite a varied range of interdisciplinary perspectives, cultivating enriching discussions and collaborations among researchers from both academia and industry.
I extend a warm invitation to researchers to share their latest findings and insights in this Special Issue, pushing the boundaries of our comprehension in this captivating domain. For readers, I trust that this Special Issue will prove to be an invaluable resource regarding the latest developments in Bayesian Networks and their applications.
I am enthusiastic about your contributions and engagement in this intellectual journey!
Dr. Marta Pittavino
Guest Editor
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Mathematics is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- additive Bayesian networks
- dynamic Bayesian networks
- decision sciences
- choice of the prior distribution
- factorization of the joint probability
- score functions
