Stochastic Process Modeling in Biology: Transforming Understanding of Diverse Phenomena in Ecology and Biology
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "Probability and Statistics".
Deadline for manuscript submissions: 8 January 2025 | Viewed by 103
Special Issue Editor
Interests: mathematical modeling; trait evolution; stochastic modeling; phylogenetics comparative method; numerical analysis; approximate bayesian computation; statistical phylogenetics; evolutionary biology
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
This Special Issue introduces a mathematical approach that revolutionizes our comprehension of ecological and biological phenomena. Rooted in the intricate realm of stochastic processes, this collection of articles illuminates how mathematical modeling can transform our understanding of diverse biological systems.
Stochastic processes, a mathematical framework capturing randomness and variability, emerge as a powerful tool in elucidating the dynamics of ecosystems. From population dynamics to species interactions, this Special Issue explores how stochastic models navigate inherent uncertainties, providing a nuanced understanding of complex biological phenomena.
The mathematical elegance showcased delves into stochastic differential equations, Markov processes, and advanced statistical techniques. These methodologies, finely tuned for the intricacies of biological systems, enable researchers to simulate and analyze the inherent randomness and variability in ecological processes. Through this lens, this Special Issue catalyzes breakthroughs in predicting population trends, assessing biodiversity, and unraveling the subtleties of evolutionary dynamics.
By bridging the worlds of mathematics and biology, this Special Issue acts as a catalyst for interdisciplinary collaboration. It urges mathematicians, ecologists, and biologists to collectively explore the transformative potential of stochastic process modeling, fostering a deeper appreciation for the complexity and unpredictability inherent in the natural world.
Prof. Dr. Dwueng-Chwuan Jhwueng
Guest Editor
Manuscript Submission Information
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Keywords
- stochastic process
- mathematical modeling
- stochastic calculus
- population trends
- biological systems
