Recent Advances in Stochastic Processes: A Comprehensive Review

Abstract

Stochastic processes form a fundamental part of modern probability theory and have wide-ranging applications in various scientific disciplines. This paper provides a comprehensive review of recent advancements in stochastic processes, including the development of new models, the refinement of existing methodologies, and their applications in diverse fields. By examining cutting-edge research, this paper aims to provide a comprehensive understanding of the latest trends and future directions in the realm of stochastic processes.