Advances in Probability and Statistics: Emerging Trends and Real-World Applications
A special issue of Mathematics (ISSN 2227-7390).
Deadline for manuscript submissions: 28 February 2025 | Viewed by 55
Special Issue Editors
Interests: probabilistic classifiers and other supervised machine learning methodologies; performance metrics; ensembles of classifiers; real-world applications of probability; statistics and supervised machine learning
Interests: extreme value analysis; unsupervised learning; outliers detection; complex and critical systems; statistical learning; exponential families; uncertainty characterization
Special Issue Information
Dear Colleagues,
This Special Issue explores the methodologies used in contemporary real-world applications of probability (including stochastic processes) and statistics, underscored by the increasing adoption of data-driven approaches. These disciplines play a pivotal role in enabling robust predictions, uncertainty management, and informed decision making across diverse fields, including, but not limited to, the following:
- Machine Learning and Artificial Intelligence (Predictive Analytics, Natural Language Processing (NLP), Reinforcement Learning, Supervised and Unsupervised Learning);
- Healthcare and Medicine (Personalized Medicine, Epidemiology);
- Economics and Customer Analytics (Finance, Risk Management, Marketing, Business Analytics);
- Environmental Science (Climate Modeling, Resource Management, Extreme Phenomena, Global Change);
- Engineering and Technology (Reliability, Manufacturing, Queueing Systems, Distributed Systems, Functional Safety);
- Social Sciences (Survey Analysis, Crime Prediction, Social Media Trends, Sentiment Analysis, Recommendation Systems, Educational Models, Decision Making).
We are pleased to invite you to submit high-quality original papers on a broad variety of topics in probability and statistics with applications in the mentioned fields. Contributions that bridge theory and practice are warmly welcome, particularly those that highlight the diverse and evolving nature of these disciplines in advancing knowledge and addressing complex, multifaceted problems in applications.
Prof. Dr. Rosario Delgado
Dr. Isabel Serra
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. 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
- probability and stochastic processes
- statistics
- machine learning
- extreme events modeling
- healthcare
- economics
- social sciences
- environmental sciences
- engineering
- complex systems
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