Recent Advances in Stochastic Processes and Their Applications
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "D1: Probability and Statistics".
Deadline for manuscript submissions: 29 January 2027 | Viewed by 1249
Special Issue Editor
Special Issue Information
Dear Colleagues,
Stochastic processes permeate many scientific disciplines, from economics and finance within social sciences, biology and physics in natural sciences, to actuarial, computer, data, and system sciences. The area is also a discipline on its own with frequent advances in terms of new processes, conditions for existence and uniqueness, and analytical solutions motivated by applications. The richness and interaction of its continuous and discrete-time branches, together with the explosion of data and machine learning techniques, make it an ideal candidate to generate innovation.
Given such a wide range of theory and applications, this Special Issue focuses on the innovative use of stochastic processes motivated, at least partially, by challenges in economics, insurance, and finance. Priority will be given to the combination of stochastic processes with statistical and machine learning methodologies, such as estimation, reinforcement learning, decision trees, and artificial neural networks.
We look forward to receiving your contributions.
Prof. Dr. Marcos Escobar-Anel
Guest Editor
Manuscript Submission Information
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Keywords
- stochastic covariance
- mathematical finance
- mathematical insurance
- continuous-time process
- discrete-time process
- financial portfolio management
- fractional processes
- exotic derivative pricing
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