Advances in Probability Theory and Stochastic Analysis
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "Probability and Statistics".
Deadline for manuscript submissions: 20 March 2025 | Viewed by 278
Special Issue Editor
Special Issue Information
Dear Colleagues,
Recent advances in probability theory and stochastic analysis cover a wide range of theoretical and applied developments. These include the creation of stochastic differential equations (SDEs) for modeling complex systems in various fields such as physics, finance, biology, sports, and medicine. There have been significant strides in understanding and analyzing both Markovian and non-Markovian processes, developing new algorithms for stochastic control problems in finance, economics, and infectious disease modeling, and advancing the theory of mean-field games and multi-agent systems. Additionally, improved methods for parameter estimation and hypothesis testing in complex stochastic models, including Copula analysis, have been developed.
Nearly thirty years ago, this field was an isolated branch of mathematics. However, significant discoveries over the last decade have transformed it into a crucial domain in mathematics, now closely related to analysis, number theory, and mathematical biology.
This Special Issue gathers various articles that aim to reveal theoretical and applied advances in probability theory and stochastic analysis across other disciplines, including, but not limited to, economics, finance, game theory, sports analysis, statistics, epidemiology, machine learning, and medicine.
Dr. Paramahansa Pramanik
Guest Editor
Manuscript Submission Information
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Keywords
- stochastic control
- stochastic calculus and stochastic differential equations
- statistical inference and stochastic processes
- mathematical biology
- stochastic analysis in sports
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