Maximum Entropy Principle and Applications
A special issue of Entropy (ISSN 1099-4300). This special issue belongs to the section "Multidisciplinary Applications".
Deadline for manuscript submissions: 31 January 2025 | Viewed by 312
Special Issue Editors
Interests: info-metrics; large-scale data analysis; maximum entropy estimation; regression analysis; shrinkage estimation; stochastic frontier analysis
Interests: info-metrics; large-scale data analysis; maximum entropy estimation; regression analysis; non-linear time series; alarm systems and surveillance
Interests: econophysics; data analysis; nonlinear dependence; maximum entropy estimation; non-linear time series; financial markets behaviour
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The concept of entropy and the maximum entropy principle are well established in science nowadays, and new theoretical developments and new applications are continuously emerging in different scientific areas. A quick glance at the publications in the journal Entropy reveals this reality. This Special Issue aims to celebrate cutting-edge research involving entropy measures and the maximum entropy principle, revealing their extraordinary importance in different fields of human activity, contributing to their dissemination and, at the same time, eliminating concerns that still remain about their implementation. In order to achieve this goal, we welcome original contributions, whether theoretical, methodological or resulting from particular applications, while encouraging interdisciplinary or multidisciplinary work with real data analysis. As the areas of application become broader day by day, it is not our intention to limit the areas of submission to this Special Issue, so that it can be of interest to a wide audience. It is our belief that researchers from many different backgrounds such as behavioral sciences, computer science, earth and climate sciences, econometrics, engineering, information theory, mathematics, medical sciences, statistics, and many more, can only take profit from sharing state-of-the-art contributions on entropy measures and the maximum entropy principle that can provide insights into future developments in different areas.
Dr. Pedro Macedo
Dr. Maria Conceição Costa
Dr. Andreia Dionísio
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 inference
- data science and big data
- dimensionality reduction
- info-metrics
- machine learning and pattern recognition
- model selection and variable selection
- multivariate statistics
- operations research
- regression and generalized linear models
- signal processing
- spatial statistics
- statistical physics and statistical mechanics
- statistical computing
- statistics and inference
- survival analysis
- time series analysis and surveillance
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Planned Papers
The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.
Authors: Marine Carrasco (University of Montreal) and Saraswata Chaudhuri (McGill University)
