Theory and Applications of Probability Theory and Stochastic Analysis
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "D1: Probability and Statistics".
Deadline for manuscript submissions: 30 April 2026 | Viewed by 1120
Special Issue Editor
Special Issue Information
Dear Colleagues,
Probability, stochastic processes, and statistics form the mathematical backbone for understanding uncertainty, modeling dynamic random systems, and transforming data into actionable knowledge across science, engineering, and social sciences. In an era of unprecedented data complexity—characterized by high dimensionality, non-stationarity, and cross-disciplinary fusion—these fields face critical challenges, such as refining stochastic process frameworks to capture real-world temporal/spatial dependencies, advancing statistical inference under model misspecification, and integrating probabilistic methods with emerging technologies like machine learning and causal analysis.
This Special Issue aims to showcase cutting-edge research that bridges theoretical rigor and practical impact. We welcome contributions spanning foundational advances (e.g., novel probability bounds, robust stochastic process models) and interdisciplinary applications (e.g., biostatistical modeling of disease spread, stochastic optimization in finance, probabilistic AI for decision-making). By fostering dialogue between theorists and practitioners, the Issue seeks to address modern uncertainties, from climate variability to algorithmic bias, through innovative methodological developments.
Prof. Dr. Junping Li
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 250 words) can be sent to the Editorial Office for assessment.
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 theory
- stochastic processes
- statistical inference
- high-dimensional data analysis
- causal inference
- Bayesian Methods
- spatiotemporal modeling
- uncertainty quantification
- machine learning integration
- interdisciplinary data science
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.
Further information on MDPI's Special Issue policies can be found here.
