Probability Theory and Stochastic Processes: Theory and Applications
A special issue of Axioms (ISSN 2075-1680).
Deadline for manuscript submissions: 31 December 2025 | Viewed by 177
Special Issue Editors
2. CEAUL—Centro de Estatística e Aplicações, Faculdade de Ciências, Universidade de Lisboa, 1150-082 Lisboa, Portugal
Interests: pooled samples for batched testing; meta-analysis; distribution mixtures; simulation
2.CEAUL—Centro de Estatística e Aplicações, Faculdade de Ciências, Universidade de Lisboa, 1150-082 Lisboa, Portugal
Interests: distributions; mixtures; simulation; statistical inference; classification; data science; meta-analysis; epidemiology; group testing; dental age estimation; history and foundations of probability and statistics
2. CEAUL—Centro de Estatística e Aplicações, Faculdade de Ciências, Universidade de Lisboa, 1150-082 Lisboa, Portugal
Interests: mixtures of distributions; meta-analysis; pooled samples for batched testing; machine learning models
Special Issue Information
Dear Colleagues,
Probability theory and stochastic processes are fundamental branches of mathematics with extensive applications in various scientific and engineering disciplines. Over the years, advancements in probability theory and stochastic processes have led to groundbreaking developments in areas such as machine learning, network analysis, and risk management, highlighting their importance in both theoretical and applied contexts. This Special Issue seeks to showcase the latest developments in this vibrant field, emphasizing both innovative theoretical contributions and practical applications that address real-world challenges.
The aim of this Special Issue is to bring together high-quality research that advances our understanding of probability theory and stochastic processes. This includes theoretical breakthroughs, novel methodologies, and significant applications that demonstrate the versatility and impact of these mathematical tools. This Special Issue aligns with the journal’s scope by fostering interdisciplinary connections and disseminating knowledge that bridges theoretical foundations and practical implementations.
In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:
- Advances in stochastic modeling and simulation techniques;
- Applications of stochastic processes in finance, insurance, and economics;
- Statistical inference for stochastic processes;
- Random walks, Markov chains, and their applications;
- Stochastic differential equations and their numerical solutions;
- Connections between probability theory and machine learning;
- Network theory and random graph models;
- Applications in biology, epidemiology, and environmental science;
- Ergodic theory and long-term behavior of stochastic systems;
- Computational approaches to high-dimensional probability problems.
We are looking forward to receiving your contributions.
Prof. Dr. João Paulo Martins
Prof. Dr. Rui Santos
Dr. Miguel Felgueiras
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. Axioms 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 2400 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 theory
- stochastic processes
- random walks
- Gauss–Markov processes
- Markov chains
- stochastic modeling
- ergodic theory
- numerical simulations
- machine learning
- neuronal modeling
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