Bridging Bayesian and Information-Theoretic Approaches in Earth and Environmental System Modeling: Theory and Practical Applications
A special issue of Entropy (ISSN 1099-4300). This special issue belongs to the section "Information Theory, Probability and Statistics".
Deadline for manuscript submissions: 31 August 2025 | Viewed by 172
Special Issue Editors
Interests: Bayesian model assessment; information-theoretic concepts; model diagnostics; hybrid modeling; model choice uncertainty; data-integrated modeling; surrogate modeling
Special Issues, Collections and Topics in MDPI journals
Interests: complex systems; data analysis; model evaluation; model diagnostics, probabilistic evaluation, uncertainty quantification; Bayesian estimation; statistical inference; information theory, sensitivity analysis
Special Issue Information
Dear Colleagues,
Information theory has gained interest in the past decade in numerous scientific disciplines. Although Shannon information theory is rooted in probability theory, its connection with Bayesian theory is rarely explored, established or demonstrated in practical applications. We invite contributions that link information and Bayesian theory using theoretical examples or cross-cutting applications. We are especially interested in manuscripts with the following characteristics:
- Manuscripts that demonstrate the practical usefulness and power of information-theoretic approaches for Earth and environmental system modeling, learning and prediction;
- Manuscripts that highlight computational and/or implementation challenges;
- Manuscripts that address theoretical limitations, pitfalls or shortcomings.
Topics may include, but are not limited to, the following: uncertainty quantification, hypothesis testing, (probabilistic) model evaluation, compression/learning, causal inference and decision-making under uncertainty.
Dr. Anneli Guthke
Dr. Jasper A. Vrugt
Dr. Steven V. Weijs
Guest Editors
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. Entropy is an international peer-reviewed open access monthly 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
- Bayesian probability theory
- Bayesian uncertainty assessment
- Bayesian optimal design
- information theory
- Shannon entropy
- algorithmic information theory
- causal inference
- model evaluation
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